Awesome MCP Registry

Welcome to the Awesome MCP Registry.

An open, high-quality, well-structured and developer-friendly list of 4080+ MCP servers.

Video: How to submit a MCP server in JSON file?
Quick Start
Contributing Guide
Awesome MCP Servers

Unlike other MCP projects, this Awesome MCP Registry leverages structured JSON configs to generate README.md, npm package and packages-list.json

You can use the Awesome MCP Registry to build your own great MCP projects and hosting sites, acting as the database for MCP servers and packages.

Quick Start

Install via package manager:

npm install @toolsdk.ai/registry

Use it on your JavaScript / Typescript project:

import mcpServerLists from '@toolsdk.ai/registry/indexes/packages-lists.json';

Fetch all MCP Servers lists via cURL:

curl https://toolsdk-ai.github.io/awesome-mcp-registry/indexes/packages-list.json

// JavaScript TypeScript
console.log(await(await fetch('https://toolsdk-ai.github.io/awesome-mcp-registry/indexes/packages-list.json')).json());

Submit new MCP servers:

{
  "type": "mcp-server",
  "name": "Github",
  "packageName": "@modelcontextprotocol/server-github",
  "description": "MCP server for using the GitHub API",
  "url": "https://github.com/modelcontextprotocol/servers/blob/main/src/github",
  "runtime": "node",
  "license": "MIT",
  "env": {
    "GITHUB_PERSONAL_ACCESS_TOKEN": {
      "description": "Personal access token for GitHub API access",
      "required": true
    }
  }
}

Fork this repo, and create a new file called your-new-mcp-server.json under packages/uncategorized folder.

For more detail please see the guide.

MCP Servers

✅: Validated and runnable tools (586)

❌: Cannot be run by the MCP client (with mock environments variables (3494))

Uncategorized

Tools that haven’t been sorted into a category yet. AI will categorize it later.

❌ contract-inspector-mcp: A local Ethereum contract analysis tool that retrieves on-chain information, integrates Etherscan and RPC data, and automatically executes view functions to provide comprehensive contract insights. (python)
❌ videodb-director-mcp: Bridges to VideoDB's video processing capabilities for searching, indexing, subtitling, and manipulating video content through specialized context resources. (python)
❌ wegene: Integrates with WeGene's genetic testing API to access and analyze users' genetic reports for personalized health and ancestry insights. (python)
✅ taskqueue-mcp: Structured task management system that breaks down complex projects into manageable tasks with progress tracking, user approval checkpoints, and support for multiple LLM providers. (14 tools) (node)
❌ @pinkpixel/blabber-mcp: Converts text into natural-sounding speech with multiple voice options, audio formats, and automatic playback capabilities using OpenAI's TTS API. (node)
❌ layerzero-oft: Deploys and manages LayerZero OFT tokens across multiple blockchain networks with automated cross-chain bridging, consistent address deployment using CREATE2 factories, and seamless token transfers between Arbitrum Sepolia and Base Sepolia testnets. (node)
✅ feuse-mcp: Automates Figma design-to-code workflows by extracting design data, downloading SVG assets, analyzing color variables, and generating API models with design token conversion for CSS frameworks like UnoCSS and TailwindCSS. (8 tools) (node)
❌ canvas-lms: Manage courses and assignments in Canvas learning system. (node)
✅ @ivotoby/contentful-management-mcp-server: Integrate with Contentful's Content Management API for CMS management. (35 tools) (node)
❌ openai: Integrates with OpenAI's API to enable direct querying of various language models, supporting efficient text generation and question answering tasks. (python)
❌ hypernym-semantic-analysis: Provides semantic text analysis and compression tools for advanced content processing, enabling summarization, search optimization, and efficient storage while preserving core meaning. (node)
❌ synthcal-(supabase-calendar): Provides a bridge between natural language and calendar management through Supabase, enabling event creation, updating, deletion, and listing without switching contexts. (python)
❌ umami-analytics: Integrates with Umami Analytics to provide website statistics, visitor metrics, page views, traffic sources, and real-time active user monitoring with period-over-period comparisons and geographic analysis. (go)
❌ image-processor: Enables image retrieval, processing, and display from both URLs and local files with automatic compression and formatting for visual content integration. (python)
❌ image-generator: Enables AI assistants to create images using Replicate or Together AI's image generation models through a flexible tool that accepts parameters like prompt, width, height, and can be run locally or deployed as a Docker container. (node)
✅ @bnb-chain/mcp: Enables direct interaction with BNB Chain and other EVM-compatible networks for blockchain operations including block exploration, smart contract interaction, token management, wallet operations, and Greenfield storage functionality. (40 tools) (node)
❌ suzieq-mcp: Interact with a SuzieQ network observability instance via its REST API. (python)
✅ mcp-fathom-analytics: Integrates with Fathom Analytics to retrieve account information, manage sites, track events, generate reports, and monitor real-time visitor data using the @mackenly/fathom-api SDK (5 tools) (node)
❌ climatiq: Provides a bridge to the Climatiq API for calculating precise carbon emissions across electricity usage, travel, cloud computing, and procurement domains using detailed environmental impact measurement tools. (python)
❌ @cablate/mcp-google-calendar: Integrates with Google Calendar API to enable creating, updating, and retrieving calendar events for seamless scheduling and event management. (node)
❌ weibo: Bridges to China's Weibo social media platform, enabling user search, profile retrieval, and post extraction through the mobile API with pagination support for monitoring trends and researching content. (python)
❌ onos: Enables network management and control for ONOS by providing comprehensive REST API access to network topology, device configuration, flow management, and system diagnostics for software-defined networking research and prototyping. (python)
❌ healthcare-data-hub: Provides healthcare professionals and researchers with access to medical information through specialized tools for FDA drug lookups, PubMed searches, Health.gov topics, clinical trials, and ICD-10 codes. (python)
❌ yolo-computer-vision: Enables computer vision capabilities using YOLO models for object detection, segmentation, classification, and pose estimation on images and camera feeds (python)
❌ pbs-api: Provides access to the Australian Pharmaceutical Benefits Scheme (PBS) API for querying medicine listings, pricing, and availability data through multiple interfaces including stdio, HTTP/SSE, and command-line tools. (node)
❌ plausible-analytics: Connects to Plausible Analytics API to retrieve website metrics like visitors, pageviews, bounce rates, and conversion data across customizable date ranges for generating reports and monitoring performance trends. (node)
❌ garth-mcp-server: Integrates with Garmin Connect to provide access to fitness and health data including sleep statistics, daily stress, and intensity minutes with customizable date ranges. (python)
❌ agentcare-(fhir-emr): Integrates with FHIR-enabled EMR systems to provide healthcare tools for patient data retrieval, medical research integration, and AI-assisted clinical analysis. (node)
❌ whoop: Integrates with the Whoop API to retrieve and process fitness data, enabling applications to incorporate health metrics and performance analysis. (python)
❌ real-estate-data-manager: Provides mock real estate data management with property listings, agent profiles, client databases, and market analytics for Riverside, California, enabling property search, client-property matching, market analysis, and area comparisons. (python)
❌ starknet: Integrates with Starknet's JSON-RPC API to enable querying blockchain state, retrieving transaction data, and executing contract calls for blockchain analytics and smart contract interactions. (node)
❌ bluesky: Query and analyze data from the decentralized social network. (node)
✅ @microsoft/clarity-mcp-server: Enables AI to fetch and analyze Microsoft Clarity website analytics data including metrics like scroll depth, engagement time, and traffic with filtering by browser, device, and country. (1 tools) (node)
❌ meraki-magic: Integrates with Cisco's Meraki Dashboard API to enable network discovery, device management, policy retrieval, and network creation/deletion operations without leaving your conversation context. (python)
❌ blockscout: Integrates with Blockscout APIs to provide blockchain data access including address balances, token holdings, NFT collections, transaction details, smart contract ABIs, and ENS name resolution across multiple networks with caching optimization and decoded transaction analysis. (python)
✅ @mcpdotdirect/evm-mcp-server: Integrates with EVM-compatible blockchains to enable querying data, transferring tokens, reading smart contracts, and resolving ENS names across Ethereum, Optimism, Arbitrum, and Base networks. (28 tools) (node)
❌ algorand-mcp: Provides a robust toolkit for Algorand blockchain interactions, enabling AI agents to create accounts, manage assets, deploy smart contracts, and execute transactions through a TypeScript-based implementation. (node)
❌ pox-sdn-controller: Bridges to the POX SDN controller, enabling network topology management and configuration of OpenFlow-based networks through specialized tools for datapath management, flow statistics, and table configuration. (python)
❌ alchemy-blockchain-api: Integrates with Alchemy's blockchain APIs to enable querying token prices, NFT ownership, transaction history, and token balances across multiple blockchain networks without writing code. (node)
❌ webflow: Integration with the Webflow Data API. (node)
❌ flow-blockchain: Integrates with the Flow blockchain to enable direct querying of account balances, domain resolution, and transaction execution through RPC communication for seamless blockchain data access and operations. (node)
❌ congress.gov: Integrates with the Congress.gov API to retrieve US legislative data including bills, amendments, voting records, committee information, member details, and congressional communications for political research and policy analysis workflows. (python)
❌ mcp-server-garmincn: Connects to Garmin Connect platform for Chinese users, enabling secure access to fitness tracking, health metrics, and activity data from Garmin devices (python)
❌ alchemy-sdk: Integrates with the Alchemy SDK to enable blockchain and NFT operations, including retrieving metadata, fetching token balances, and querying blockchain data. (node)
❌ senechal-health: Integrates with the Senechal health data API to enable access and analysis of personal health information for use cases like personalized wellness recommendations or long-term health monitoring. (python)
✅ @mzxrai/mcp-openai: Generate text using OpenAI's language models. (1 tools) (node)
❌ mcp-google-calendar: Integrates with Google Calendar API for managing calendars and events with persistent OAuth token storage, enabling seamless scheduling, retrieval, and modification operations without repeated authentication. (node)
❌ canvas-student: Provides a bridge to Canvas LMS, enabling students to retrieve and manage course data like assignments, files, and to-do items through a lightweight Python tool with rich, optimized formatting. (python)
❌ mantrachain-mcp: Integration with the Mantra Chain blockchain. (node)
❌ mcp-sunsama: Integrates Sunsama's task management and daily planning capabilities, enabling AI assistants to create, manage, and organize tasks through the Sunsama API. (node)
❌ mixpanel-analytics: Track analytics events in Mixpanel, supporting custom events, page views, user profiles, and signups. (node)
❌ azure-fhir-mcp-server: Provides secure access to Azure Health Data Services FHIR servers, enabling authenticated retrieval and search of healthcare resources across 70+ resource types for medical applications requiring standards-compliant patient data access. (python)
❌ personal-health-tracker: Integrates personal health data tracking with natural language querying and visualization for privacy-focused local analysis and trend insights. (python)
❌ figma-developer-mcp: Integrates with Figma's design platform API to enable AI-driven design operations, asset management, and team collaboration within Figma workflows. (node)
✅ @f2c/mcp: Bridges Figma design files to code generation, enabling direct conversion of designs into HTML, CSS, and other assets with customizable output paths and file organization. (2 tools) (node)
✅ base-network-mcp-server: Provides a bridge to the Base blockchain network for wallet management, balance checking, and transaction execution through natural language commands, eliminating the need to manage technical blockchain details. (4 tools) (node)
❌ web3-blockchain-interface: Unifies interactions with multiple blockchains like Solana and Ethereum, enabling cross-chain operations such as balance checks and token transfers. (node)
❌ fulcra-context-mcp: Integrates with Fulcra Context personal data through OAuth2 authentication to retrieve health metrics, workout data, sleep cycles, location information, and user profile details from Apple Health and other connected sources for personal health analysis and fitness tracking. (python)
❌ tku-academic-systems-(tronclass-&-tku-ilife): Connects Blender to TKU's learning management and student information systems, enabling automated interactions with university platforms through authenticated access to TronClass and TKU-ilife. (python)
✅ mcp-cook: Provides access to a collection of over 200 food and cocktail recipes, enabling dish information retrieval and ingredient-based meal suggestions. (2 tools) (node)
❌ sui: Integrates with the Sui blockchain network to enable test token requests, wallet management, and smart contract interactions using the official Sui SDK (node)
❌ @mastergo/magic-mcp: Extracts design file metadata from MasterGo files using a personal access token, enabling direct retrieval of design element details for analysis and code generation. (node)
❌ ton-access: Provides a TON blockchain access server for developers, enabling seamless interaction with multiple networks and protocols like TonCenter API v2 and TonHub API v4 through decentralized RPC endpoints. (node)
❌ garmin-connect: Integrates with Garmin Connect to expose fitness and health data, enabling access to activities, detailed workout information, and health metrics like heart rate through natural language interactions. (python)
❌ soon-blockchain: Bridges Claude AI with SOON blockchain networks for real-time wallet balance checks, transaction retrieval, and token holdings using Solana Web3.js library (node)
❌ polygon-blockchain: Integrates with the Polygon blockchain network to enable wallet operations, smart contract deployments, L2 bridging, DeFi interactions, and transaction simulations using ethers.js v6 across both Mainnet and Mumbai Testnet environments. (node)
❌ posthog: Integrates with PostHog to enable querying analytics, errors, running SQL insights, and managing feature flags through natural language interactions (node)
❌ monad-mcp-server: Provides a bridge between natural language commands and the Monad blockchain testnet, enabling token balance checks, transactions, smart contract deployment, and blockchain data retrieval without specialized tools. (node)
✅ etherscan-mcp: Provides a bridge to the Etherscan API for querying Ethereum blockchain data including account balances, transactions, contracts, tokens, gas metrics, and network statistics. (6 tools) (node)
❌ @mshaaban0/contentful-delivery-mcp-server: Integrates with Contentful's Delivery API to enable querying and retrieving structured content using keywords or sentences, facilitating content-driven applications and dynamic websites. (node)
❌ health-fitness-coach-mcp: A comprehensive AI-powered fitness tracking application that enables AI tools to interact intelligently with user fitness data, providing personalized workout plans, nutrition tracking, and progress analysis through natural language. (node)
❌ cisco-apic: Integrates with Cisco APIC for managing Application Centric Infrastructure fabrics through REST API operations, enabling managed object retrieval, automated configuration backups to SCP servers with AES encryption, and session token management for network automation and infrastructure monitoring workflows. (python)
❌ thirdweb-mcp: Read/write to over 2k blockchains, enabling data querying, contract analysis/deployment, and transaction execution, powered by Thirdweb. (python)
✅ @moralisweb3/api-mcp-server: Integrates with Moralis Web3 API to enable blockchain data access, token analysis, and smart contract interactions without requiring deep Web3 development knowledge (80 tools) (node)
❌ dicom-connectivity: Integrates with DICOM systems to provide connectivity testing and diagnostics for medical imaging workflows, enabling node listing, C-ECHO operations, and configuration management. (python)
❌ near-blockchain: Integrates with the NEAR blockchain to enable account management, balance checking, transaction signing, and key handling directly within conversation interfaces. (node)
❌ image-analysis-(gpt-4-vision): Enables image analysis using GPT-4-turbo's vision capabilities for extracting information, generating descriptions, and answering questions about visual content (node)
❌ fhir-careplan: A comprehensive Model Context Protocol server that provides universal access to multiple FHIR servers with AI-powered clinical analysis capabilities for healthcare data integration and patient care planning. (python)
❌ yokatlas: Provides direct access to Turkish university and program data through YokAtlas API integration for informed higher education application decisions. (python)
❌ forward-networks: Integrates with Forward Networks API for network topology analysis, path tracing, device management, and configuration auditing with semantic search of network queries using embedding-based similarity matching. (go)
❌ clickup: Integrates with ClickUp to enable task management, project tracking, and workflow optimization within the platform's ecosystem. (python)
❌ tailscale-status: Enables querying Tailscale status by parsing CLI output on macOS, providing structured data about connected devices and network information. (python)
❌ aptos: Integrates with the Aptos blockchain ecosystem to enable smart contract development, testing, and deployment through natural language interactions for generating components, managing projects, and automating gas station creation (python)
❌ covid-19-statistics: Provides real-time COVID-19 statistics by connecting to the disease.sh API, delivering case counts, deaths, recoveries, and testing data for any country. (node)
✅ @mcpdotdirect/starknet-mcp-server: Provides a bridge to the Starknet blockchain for querying data, managing tokens, resolving IDs, and executing transactions on both mainnet and sepolia networks. (25 tools) (node)
✅ minimax-mcp-js: Official JavaScript implementation that integrates with MiniMax's multimodal capabilities for image generation, video creation, text-to-speech, and voice cloning across multiple transport modes. (8 tools) (node)
❌ nautobot-mcp: Integrates with Nautobot network infrastructure management platform, enabling querying and interaction with network data through tools for retrieving information about devices, interfaces, circuits, IP addresses, and locations. (python)
✅ todoist-mcp-server: Provides a bridge to the Todoist task management platform, enabling advanced project and task management capabilities like creating tasks, organizing projects, managing deadlines, and team collaboration. (33 tools) (node)
❌ spotr-exercise-library: Provides access to a fitness movement library with exercise videos categorized by muscle groups for creating personalized workout programs. (node)
❌ solana-mcp: Enables blockchain interactions on Solana by providing a comprehensive server for asset retrieval, token deployment, wallet management, transfers, NFT minting, and domain resolution. (node)
❌ wordpress: Enables direct interaction with WordPress sites for creating, retrieving, and updating posts through the WordPress REST API (node)
❌ ethereum-address-monitor: Provides real-time Ethereum address monitoring across multiple blockchain networks using Server-Sent Events, enabling continuous tracking of on-chain activity without polling for DeFi dashboards, wallet applications, and analytics tools. (node)
❌ zplanner-(project-management): Enables creation and management of hierarchical project plans with task tracking, progress calculation, and visual reporting through a file-based storage system. (node)
❌ music-analysis: Integrates librosa's audio processing capabilities to provide detailed music and audio analysis tools for extracting features like tempo, spectral characteristics, and onset detection directly within conversations. (python)
❌ bsc-blockchain: Provides a robust blockchain interaction layer for Binance Smart Chain, enabling secure wallet management, token transfers, and smart contract interactions through a flexible, environment-variable-configured architecture. (node)
❌ amplitude-analytics: Track analytics events in Amplitude, supporting custom events, page views, user properties, and revenue tracking. (node)
❌ oraichain-blockchain: Enables AI interaction with the Oraichain blockchain for querying wallet balances, executing transactions, and retrieving blockchain data through a TypeScript implementation using CosmJS and Server-Sent Events. (node)
❌ figma-mcp-pro: Integrates with Figma API to retrieve design files, extract design tokens and CSS properties, process designer comments for implementation instructions, and download assets for automated design-to-code conversion across 10 frameworks including React, Vue, Angular, SwiftUI, and mobile platforms. (node)
❌ wordpress-server: Integrates WordPress with AI systems to enable automated content creation, site management, and data analysis for WordPress-based websites. (node)
❌ server-wp-mcp: Integrates with WordPress REST API to enable secure content management, user administration, and site configuration tasks. (node)
✅ mcp-server-ens: Integrates with the Ethereum Name Service to resolve ENS names to addresses, perform lookups, retrieve records, check availability, get prices, and explore name history through configurable Ethereum network providers. (8 tools) (node)
❌ zillow: Integrates with Zillow's real estate API to provide property searches, detailed information, Zestimates, market trends analysis, and mortgage calculations for home buying decisions. (python)
❌ fhir: Integrates FHIR data into workflows, enabling seamless access and search of healthcare resources for dynamic querying and analysis. (node)
✅ @bankless/onchain-mcp: Integrates with blockchain networks to enable smart contract interaction, transaction history access, and on-chain data exploration through specialized tools for reading contract state, retrieving ABIs, and filtering event logs. (10 tools) (node)
❌ linkedin-data-api: Integrates with LinkedIn Data API to fetch, analyze, and search posts by username, keywords, date ranges, and engagement metrics for social media analysis and content strategy development. (python)
❌ adamik-(blockchain-and-ai): Integrates with the Adamik API to enable blockchain operations and custom AI functionalities via Starknet, supporting secure API key management and efficient request handling. (node)
❌ image-toolkit: Provides image manipulation capabilities through Gemini models and third-party APIs for generating images from text, modifying existing images, and removing backgrounds with automatic FreeImage.host uploading. (python)
❌ pyats-network-automation: Provides a containerized bridge between AI and Cisco network devices through the pyATS automation framework, enabling device configuration, troubleshooting, and monitoring tasks via SSH connections. (python)
❌ selector-ai: Bridges Cisco's Selector AI platform with natural language interaction, enabling direct access to Selector's capabilities without switching contexts. (python)
❌ video-editor-mcp: Integrates with Video Jungle API to enable AI-powered video editing and content searching through natural language queries and automated clip generation. (python)
❌ tagesschau: Provides a bridge to Tagesschau's news API for retrieving and analyzing German news articles across categories like domestic, foreign, economic and sports coverage (go)
❌ ethereum-rpc: Provides a bridge to the Ethereum blockchain for querying contract bytecode, gas prices, and account balances through standard JSON-RPC calls to public endpoints. (node)
❌ sentiment-sarcasm-analyzer: A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture. (python)
❌ oura: Integrates with the Oura API to retrieve and analyze personal sleep, readiness, and resilience data for health and wellness tracking. (python)
❌ mixpanel: Integrates with Mixpanel's API to enable querying of events data, retention, and funnels for on-demand analytics and custom report generation. (node)
✅ @glifxyz/mymcpspace-mcp-server: Enables AI interaction with MyMCPSpace social media platform for creating posts, replying to content, toggling likes, retrieving feed data, and updating usernames through authenticated API communication. (5 tools) (node)
❌ itemit: Integrates with itemit's asset management platform to enable searching, creating, and managing physical assets and locations with item tracking, location lookup, and reminder retrieval capabilities. (node)
✅ @noditlabs/nodit-mcp-server: Provides blockchain context through Nodit's APIs, enabling real-time interaction with multiple protocols including Ethereum, Polygon, and Aptos for token information and on-chain activity analysis. (8 tools) (node)
❌ polygon-mcp: Integrates with the Polygon blockchain to enable cryptocurrency management, smart contract interaction, and transaction signing through a secure wallet connection using the user's seed phrase. (node)
❌ tailscale: Integrates with Tailscale's CLI and REST API to provide network management capabilities including device authorization, route configuration, ACL management, DNS settings, exit node setup, and user administration for distributed infrastructure operations. (node)
❌ fitbit: Integrates with Fitbit to provide access to personal health data including weight measurements, sleep logs, and profile information through OAuth 2.0 authentication for enhanced health tracking and fitness analysis. (node)

Aggregators

Servers that let you access multiple apps and tools through one MCP server.

❌ bitte-ai: Connects AI assistants to the Bitte AI ecosystem, enabling discovery and execution of specialized agents and tools from the Bitte registry through real-time Server-Sent Events communication. (node)
❌ multi-service-gateway: Provides a unified gateway for LLMs to access GitHub, GitLab, Google Maps, Memory storage, and Puppeteer web automation tools through a Flask-based server deployable on Red Hat environments. (python)
✅ @modelcontextprotocol/server-everything: Test protocol features and tools for client compatibility. (8 tools) (node)
❌ @tonlab/dify-mcp-server: Connects Claude with Dify Workflow to expose workflow capabilities as tools, enabling structured automation through dynamic parameter retrieval and multi-workflow support. (node)
❌ fastn: Dynamically registers and executes tools across multiple services, enabling seamless integration and real-time operations through a flexible, API-driven platform with robust logging and error handling. (python)
❌ darp-engine: Enables discovery and intelligent routing of user requests to the most appropriate MCP servers through metadata-based search capabilities, eliminating the need to know specific server connections. (python)
❌ a2a-mcp-server: Bridges Google's Agent-to-Agent protocol with MCP, enabling agent discovery, registration, message sending, and task management through protocol translation between A2A's JSON-RPC messaging and MCP's tool-based interface. (python)
❌ gemini-mcp-server: A Python-based MCP server that enables integration of Gemini AI models with MCP-compatible applications like Cursor/Claude, allowing for interaction with Gemini APIs through the Model Context Protocol. (python)
❌ @superfaceai/mcp: Bridges AI assistants with Superface's API tools ecosystem, enabling external API integrations while maintaining separation between assistants and third-party services (node)
❌ atrax-(mcp-proxy): Proxy service that aggregates multiple MCP servers into a unified endpoint with configurable conflict resolution, transparent proxying, and enhanced error handling. (node)
❌ academic-author-network: Aggregates academic data from Semantic Scholar, OpenAlex, Crossref, and Google Scholar to discover research collaborators with collaboration frequency counts and extract research keywords from scholar profiles for academic network analysis and collaboration mapping. (python)
❌ rapidapi: Accesse thousands of APIs on the RapidAPI Hub. (python)
✅ hal-mcp: Transforms OpenAPI/Swagger specifications into dynamic HTTP tools with secret management and URL restrictions, enabling secure API integration through automatic tool generation from API documentation. (8 tools) (node)
❌ agile-flow: Provides project management and workflow enhancement tools for generating structured documents, breaking down complex problems, and supporting natural language commands in agile development environments. (python)
❌ @makehq/mcp-server: Connects AI systems to Make automation workflows, enabling assistants to trigger scenarios with parameters and receive structured JSON output from your existing Make account. (node)
❌ pipedream-workflow-components: Enables AI to configure and execute Pipedream workflow components across hundreds of apps and services without writing code, handling authentication flows and user credentials securely. (node)
✅ @metamcp/mcp-server-metamcp: Centralizes management of multiple AI services, providing secure API key handling and unified access for streamlined interactions across diverse platforms. (node)
❌ just-prompt-(multi-llm-provider): Unified interface for interacting with multiple LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama with parallel prompt sending and response file saving capabilities. (python)
❌ gateway: Connects AI assistants to multiple specialized services through a unified gateway, enabling dynamic tool discovery and seamless interaction across various MCP servers and HTTP APIs without leaving the conversation context. (python)
❌ google-toolbox: Integrates with Google services including Gmail, Calendar, Drive, and Search through OAuth 2.0 authentication, enabling email management, scheduling, document access, and web information retrieval. (python)
❌ a2a-bridge: Bridges LLMs with Agent-to-Agent protocol-compatible agents, enabling delegation of complex tasks to specialized external agents without requiring direct protocol implementation (node)
❌ @ifmelate/n8n-workflow-builder-mcp: MCP server that allow LLM in agent mode builds n8n workflows for you (node)
✅ @pinkpixel/mindbridge: Bridges multiple LLM providers including OpenAI, Anthropic, Google, DeepSeek, OpenRouter, and Ollama through a unified interface, enabling comparison of responses and leveraging specialized reasoning capabilities across different models. (3 tools) (node)
❌ @1mcp/agent: Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading and tag-based filtering capabilities. (node)
❌ n8n-mcp-server: Integrates with n8n workflow automation platform to enable workflow management, execution monitoring, and task automation through a bridge that connects AI capabilities with n8n's powerful automation tools. (node)
❌ mcp-github-oauth-analytics-server: A Model Context Protocol server that enables AI models to access tools through GitHub authentication and provides comprehensive analytics tracking of tool usage, performance, and user behavior. (node)
❌ pica: Enable seamless interaction with over 100 third-party platforms through a unified interface, powered by Pica. Execute platform actions directly, generate integration code, and manage connections securely without exposing secrets. (node)
❌ @activepieces/piece-mcp: Dynamic server to which you can add apps (Google Calendar, Notion, etc) or advanced Activepieces Flows (Refund logic, a research and enrichment logic, etc). (node)
✅ mcp-hub-mcp: Centralizes multiple MCP servers into a unified hub, enabling seamless tool discovery and routing across specialized servers for complex workflows without managing individual connections. (7 tools) (node)
✅ @illuminaresolutions/n8n-mcp-server: Bridges Claude with n8n automation workflows, enabling direct creation, execution, and management of workflows, credentials, and enterprise features without switching contexts. (33 tools) (node)
❌ maton: Integrate with Maton APIs through function calling. This protocol supports various apps and actions to interact with different Maton services. (node)
❌ n8n-workflow-automation: Enables AI to create, manage, and execute n8n workflows using natural language commands for automating complex business processes without requiring technical knowledge of n8n's internal APIs. (node)
❌ mcp-server-function-hub: Integrates with Function Hub API to provide dynamic tool listing and execution capabilities for flexible access to external functions and APIs. (node)
❌ all-in-one: Integrates GitLab, Jira, Confluence, YouTube, and Google AI to provide search capabilities and utility tools for streamlined development workflows and project management tasks. (go)
❌ brightsy: Provides a bridge to an OpenAI-compatible agent for seamless integration of task automation, natural language processing, and interactive chat functionalities within larger systems or applications. (node)
❌ router: Aggregates multiple MCP resource servers into a unified proxy, enabling centralized access, request routing, and response aggregation. (node)
❌ multi-llm-api-gateway: Provides a unified FastAPI server for interacting with multiple language model APIs, enabling seamless switching between OpenAI and Anthropic models without changing integration code. (python)
❌ mcp-inception: Enables MCP clients communicating with other MCP clients through this MCP server. (node)
❌ recoupable: Retrieves and aggregates social media insights for artists by fetching comprehensive fan and post data across multiple platforms, enabling developers to easily access structured online presence information (node)
✅ @wopal/mcp-server-hotnews: Aggregates real-time trending topics from major Chinese social platforms and news sites. (1 tools) (node)
❌ pluggedin: A unified interface for managing all your MCP servers. (node)
❌ openai-agents: Exposes OpenAI's agent capabilities for web search, file search, and computer actions through specialized agents and a multi-agent orchestrator that coordinates between them based on task requirements. (python)
❌ aipolabs-mcp: Allow dynamic search and execute any tools available on ACI.dev. (python)
✅ @noveum-ai/mcp-server: Converts OpenAPI specifications from API.market into tools for accessing over 200 services including image generation, geocoding, and content detection through a unified authentication system (34 tools) (node)
❌ mcp-server-demo: A monorepo containing three Model Context Protocol (MCP) servers that enable natural language interaction with databases, GitHub repositories, and time/timezone services. (node)
❌ agent-server: Provides a foundation for building persistent agent systems with memory storage, user authentication, and n8n workflow integration designed for SaaS deployment and monetization. (node)
❌ openrouter: Unifies access to diverse AI models via OpenRouter, enabling flexible model selection and usage for applications like chatbots and content generation. (node)
❌ api-doc-mcp: Transforms OpenAPI specifications into dynamic tools for interacting with external services, handling authentication, validation, and request routing without custom code. (node)
❌ dify-workflows: Integrates with the Dify API to enable AI-driven workflow execution and management for automated task processing and decision making across domains. (go)
❌ cloud-foundry-hoover: Registry and aggregator for Cloud Foundry. Queries for and aggregates cf-butler instances' data (node)
❌ unichat-mcp-server: Interact with multiple LLM chat APIs through a unified interface. (python)
❌ glide-api: Bridges Glide's API with MCP to enable automated management and data operations for Glide applications. (node)
❌ hal-http-api-layer: HAL (HTTP API Layer) is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models. (node)
❌ make: Integrates with Make (formerly Integromat) to enable automated workflows and task execution using AI assistants and Make's extensive app integration library. (node)
❌ openapi_mcp_server: Enables LLMs to interact with REST APIs by dynamically generating tools from OpenAPI specifications, allowing models to execute HTTP requests against configured endpoints without complex implementation. (python)
❌ mcptoolkit: Provides a unified Docker-based server with over 100 integrated tools spanning file operations, web search, browser automation, data analysis, and document management through a modular architecture that encapsulates domain knowledge in vertical agents for complex workflows. (python)
❌ unichat-ts-mcp-server: Integrates multiple language models via the unified Unichat tool, enabling seamless interaction across OpenAI, MistralAI, Anthropic, xAI, and Google AI platforms. (node)
❌ n8n-workflow-builder: Enables creation and management of n8n workflows for simplified automation and integration tasks. (node)
❌ @gentoro/mcp-nodejs-server: Connect agentic systems to enterprise systems with Gentoro. (node)
❌ @createveai/nexus-mcp-server: Unified platform that bridges REST API and MCP functionality, enabling assistants to interact with custom APIs through both HTTP endpoints and tools for image processing, web access, social media, and AI workflows. (node)
❌ mcp-superiorapis: Provides a bridge between AI systems and external APIs, enabling structured communication with third-party services through a set of callable tools built on the fastmcp framework. (python)
❌ dify: Integrates with Dify's AI application platform, enabling seamless creation, management, and deployment of AI applications through TypeScript-based request handling and API bridging. (node)
❌ integrated-development-mcp: A comprehensive toolkit that consolidates over 40 development tools into a single MCP, enabling unified management of frontend, backend, mobile development, GitHub repositories, and database operations. (node)
❌ magg: Meta-MCP server that aggregates and manages multiple MCP servers through intelligent discovery from sources like Glama.ai and GitHub, enabling dynamic server installation, configuration, and unified tool access with automatic conflict resolution. (python)
❌ @llmindset/mcp-hfspace: MCP Server for using HuggingFace Spaces. Seamlessly use the latest Open Source Image, Audio and Text Models from within Claude Deskop. (node)
❌ integration.app: Integrates with Integration App's API to expose workflow automation capabilities as tools for triggering and managing complex business processes. (node)
❌ union: Connects AI assistants to Union's tasks, workflows, and apps, enabling access to distributed computing capabilities through customizable tools and resources. (python)
❌ anti-bs: Integrates multiple epistemological frameworks to analyze claims, validate sources, and detect manipulation for enhanced fact-checking and critical thinking. (node)
❌ @nullplatform/meta-mcp-proxy: Unifies multiple MCP servers into a single gateway with built-in search capabilities, enabling tools to be discovered and executed across different specialized services through one interface (node)
❌ gemsuite-(google-gemini): Integrates with Google's Gemini API through specialized tools for search, reasoning, processing, and file analysis, automatically selecting optimal models based on content type. (node)
❌ makesync: Integrates with Make.com's automation platform to create, update, and manage workflow scenarios through natural language commands without requiring deep API knowledge. (node)
❌ llm-gateway: Unified gateway for managing multiple LLM providers with automatic model selection, semantic caching, and cost optimization features for reliable production deployments (python)
❌ openapi-mcp: Transforms OpenAPI 3.x specifications into tool servers that enable interaction with any API through automatic endpoint conversion, authentication handling, and safety features (go)
❌ api-aggregator-mcp-server: A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs. (python)
❌ @pipedream/mcp: Access hosted MCP servers or deploy your own for 2,500+ APIs like Slack, GitHub, Notion, Google Drive, and more, all with built-in auth and 10k tools. (node)
❌ acp-mcp-server: Bridges Agent Communication Protocol networks with MCP clients, enabling access to complex multi-agent workflows through intelligent agent discovery, routing, and multi-modal message conversion with support for synchronous, asynchronous, and streaming execution patterns. (python)
❌ llm_bridge_mcp: Provides a unified interface to multiple large language model providers (OpenAI, Anthropic, Google, DeepSeek) through a containerized server with customizable parameters for seamless model switching within applications. (python)
❌ @stabgan/openrouter-mcp-multimodal: Provides seamless access to OpenRouter's diverse AI models, enabling multimodal interactions across vision and language models with intelligent model selection, caching, and robust error handling. (node)
❌ mcprouter: Provides a proxy service that connects local MCP clients to remote tool servers through a central routing service, eliminating the need to run your own server infrastructure. (node)
❌ @thirdstrandstudio/mcp-tool-chainer: Chains multiple MCP tools together in sequence, passing results between tools without sending large intermediate data back to the LLM, reducing token usage for complex workflows. (node)
❌ jentic: Enables AI assistants to discover and execute external APIs and workflows through a Python SDK that leverages the Open Agentic Knowledge repository for standardized API access and execution. (python)
❌ pocket-mcp-manager: Unified management system for multiple MCP servers that allows users to add, launch, and control servers through a central proxy, eliminating the need to reconfigure connection settings when switching between servers. (python)
❌ gpt-mcp-proxy: Bridges HTTP clients with tool servers, enabling tool discovery and execution via REST endpoints, featuring automatic HTTPS exposure and OpenAPI 3.1.0 specification for seamless integration with custom GPTs and AI-assisted applications. (go)

Art & Culture

Explore art collections, museums, and cultural heritage with AI-friendly tools.

❌ letzai: Integrates with LetzAI to enable image generation and upscaling through natural language commands with customizable parameters like dimensions, quality, and creativity. (node)
❌ image-generation: Provides image generation capabilities by connecting to various models via Gradio clients, enabling creation of images from text prompts for creative workflows and visual design tasks. (python)
❌ openai-image-generator: Provides a bridge between language models and OpenAI's image generation capabilities, enabling creation and modification of images through text prompts without directly managing API complexities. (node)
❌ @modelcontextprotocol/server-everart: Integrates with EverArt API to generate images from text prompts using multiple AI models for creative and visual design tasks. (node)
❌ ohmygpt-flux: Provides a bridge to OhMyGPT Flux image generation API, enabling high-quality image creation from text prompts with customizable parameters and cached results directly within conversations. (node)
❌ processing: Generates and executes Processing sketches by creating timestamped project folders, saving code files, and launching interactive visualizations for creative coding and generative art workflows. (python)
❌ draw-things: Integrates with the Draw Things API to convert text prompts or JSON inputs into JSON-RPC requests, enabling AI image generation capabilities with automatic saving and error handling. (node)
✅ figma-mcp: Interact with Figma design files through the Figma REST API for design analysis, feedback, and collaboration. (5 tools) (node)
❌ figma: Bridges AI systems with Figma's design platform, enabling file operations, node manipulation, comment management, and real-time canvas interactions through both REST API and WebSocket communication. (node)
❌ comfyui: Provides a bridge between AI systems and ComfyUI's image generation capabilities, enabling text-to-image creation with customizable parameters through WebSocket communication. (python)
❌ blender-mcp: Enables natural language control of Blender for 3D scene creation, manipulation, and rendering without requiring knowledge of Blender's interface or Python API. (python)
✅ together-mcp: Integrates with Together AI's Flux.1 Schnell model to provide high-quality image generation with customizable dimensions, clear error handling, and optional image saving. (1 tools) (node)
❌ figma-rest-api: Integrates with the Figma REST API to manage design system elements, enabling variable handling, file operations, and collaborative workflows. (node)
❌ hugging-face: Provides direct access to thousands of Hugging Face models and resources with optional authentication, enabling natural language processing and image generation capabilities within conversation interfaces. (python)
❌ cbeta-buddhist-texts: Provides access to Chinese Buddhist Electronic Text Association (CBETA) resources for text retrieval, metadata access, and content analysis of Buddhist texts through catalog browsing, search functionality, and work manipulation tools. (python)
❌ rijksmuseum-amsterdam: Integrates with the Rijksmuseum API to enable artwork search, detailed information retrieval, and high-resolution image access for art research and cultural exploration. (node)
❌ ableton-copilot-mcp: AI assistant for Ableton Live music production. (node)
✅ sonic-pi-mcp: Enables music creation and sound manipulation through Sonic Pi by sending OSC messages for playing notes with customizable synth parameters and executing arbitrary code. (2 tools) (node)
❌ heygen-mcp: Enables AI avatar video generation through HeyGen's API with tools for retrieving voices and avatars, creating videos, and checking generation status. (python)
❌ freepik-fastmcp-toolkit: A Model Context Protocol (MCP) server that connects AI assistants directly with Freepik's APIs, allowing users to search, generate, and manage visual content without leaving their AI workflow. (python)
❌ adobe-photoshop-controller: Enables direct control of Adobe Photoshop through natural language commands for manipulating layers, text, images, and effects without switching contexts. (python)
❌ wikipedia: Fetches and converts Wikipedia articles to clean Markdown format for direct reference in conversations without manual copying or formatting. (python)
✅ @cloudwerxlab/gpt-image-1-mcp: Enables direct image generation and editing through OpenAI's gpt-image-1 model with support for text prompts, file paths, and base64 encoded inputs for creative workflows and visual content creation. (2 tools) (node)
✅ discogs-mcp-server: Provides a bridge to the Discogs API for searching music databases, managing collections, and accessing marketplace listings with comprehensive artist and release information. (53 tools) (node)
❌ gemini-image-generator: Provides image generation capabilities through Google's Gemini 2 API, enabling text-to-image creation with configurable parameters like aspect ratio and output format (node)
✅ @openmcprouter/mcp-server-ghibli-video: Transforms static images into animated Ghibli-style videos through the GPT4O Image Generator API with tools for credit balance checking and task monitoring. (3 tools) (node)
❌ together-ai-image-generation: Integrates with Together AI's API to enable text-to-image generation, offering tools for creating visual content based on text prompts. (node)
❌ zotero: Enables direct interaction with Zotero reference management libraries for searching literature, retrieving metadata and full-text content, managing collections, and organizing research materials. (python)
❌ adobe-creative-suite: Bridges Adobe Creative Suite applications including Photoshop, Premiere Pro, and InDesign through WebSocket connections and UXP plugins, enabling natural language control of layer manipulation, filter application, video editing with transitions and effects, and document creation workflows. (node)
❌ painter-(canvas-drawing): Provides a drawing interface for creating and manipulating canvas elements with basic shape rendering and PNG export capabilities (node)
❌ image-generation-(flux-schnell): Enables text-to-image generation using Replicate's flux-schnell model, offering configurable parameters for on-demand image creation in various applications. (node)
❌ touchdesigner-mcp-server: Provides a bridge between TouchDesigner visual programming environment and natural language commands, enabling real-time control of nodes, properties, and Python script execution for interactive digital art and installations. (node)
❌ blender-open-mcp: Integrates Blender with local AI models via Ollama, enabling natural language control of 3D modeling tasks including object creation, modification, material application, and rendering with optional PolyHaven asset integration. (python)
❌ trakt: Bridge to the Trakt.tv API, allowing LLMs to access real-time entertainment data and personal Trakt viewing history. (python)
✅ midi-file-mcp: Parse and manipulate MIDI files based on Tone.js (11 tools) (node)
❌ mureka-mcp: Provides a bridge to Mureka.ai's music generation capabilities, enabling on-demand creation of lyrics, complete songs, and instrumental tracks without requiring specialized music production knowledge. (python)
❌ replicate-flux: Integrates with Replicate's image generation API to enable fast creation of images from text prompts using the flux-schnell model, with customizable parameters for quality and format. (node)
❌ grok-image-generator: Connects to xAI/Grok's image generation API, enabling text-to-image creation with support for multiple images, different response formats, and seamless integration into creative workflows. (node)
❌ fal-ai-image-generation: Integrates with FAL AI to generate images from text prompts using models like 'fal-ai/recraft-v3', enabling real-time visual content creation for design and content generation tasks. (python)
❌ inspire: Integrates with the Inspire backend API to find similar images based on text descriptions, returning optimized JPEG images with pagination support for visual content discovery and retrieval. (node)
❌ tmdb: Provides a bridge to The Movie Database (TMDB) API, enabling retrieval of movie information, trending films, details, and reviews through type-safe TypeScript resources and tools. (node)
✅ replicate-flux-mcp: Integrates with Replicate's Flux image generation model, enabling image creation capabilities within conversation interfaces through a simple API token setup and TypeScript implementation available as both an npm module and Docker container. (7 tools) (node)
❌ opera-omnia: Provides access to a rich collection of creative content datasets for games, storytelling, and applications, enabling quick retrieval of character concepts, equipment descriptions, and RPG elements through a clean TypeScript API. (node)
❌ sefaria-jewish-library: Integrates with the Sefaria Jewish Library API to provide access to Jewish texts and commentaries for textual analysis and religious study. (python)
❌ everart-forge: Integrates with EverArt's AI models to provide advanced vector and raster image generation capabilities, supporting various formats and offering flexible storage options. (node)
✅ mcp-server-stability-ai: Integrates Stability AI's image generation and manipulation capabilities for editing, upscaling, and more via Stable Diffusion models. (13 tools) (node)
✅ wikipedia-mcp: Provides a structured interface for searching and retrieving Wikipedia articles in clean Markdown format, enabling access to up-to-date encyclopedia information without hallucinating facts. (2 tools) (node)
❌ figma-design-system: Bridges Figma's design ecosystem by extracting design system components, styles, and UI copy, enabling advanced design workflow analysis and documentation generation. (node)
❌ flux-image-generator-(black-forest-lab): Provides a bridge to Black Forest Lab's FLUX model for generating images with customizable parameters like dimensions and safety settings through natural language requests (node)
❌ talk-to-figma: Enables AI interaction with Figma designs through a WebSocket bridge that allows reading and modifying elements with tools for creation, styling, layout management, and exporting. (node)
❌ openai-image-generation: Provides tools for generating and editing images using OpenAI's gpt-image-1 model, handling API interactions, error management, and local image storage. (python)
❌ eagle.cool: Integrates Claude Desktop with the Eagle.cool app for asset management and creative project assistance through MCP-enabled interaction with Eagle's features. (node)
❌ figma-design-processor: Transforms Figma designs into structured data for React implementation, providing tools to extract component details, styles, and layout properties through the Figma API. (node)
❌ sketchfab-mcp: Provides a streamlined interface to the Sketchfab API for searching and downloading 3D models with filtering options for animated or rigged content. (python)
❌ flux-schnell-(replicate): Bridges Claude with Replicate's flux-schnell image generation model, enabling direct image creation from text prompts within conversations through a single tool that communicates with the Replicate API. (node)
❌ qgis-geographic-information-system: Enables remote control of QGIS geographic information system for spatial analysis, map creation, and geographic data management through a JSON-based API (python)
❌ image-gen: Integrates with Stable Diffusion WebUI to provide text-to-image generation with extensive parameter control and metadata embedding (node)
❌ anilist: Integrates with Anilist's anime/manga database through GraphQL queries, enabling search, retrieval, and analysis of Japanese media information for accurate conversations about anime and manga. (node)
❌ weread: Integrates with WeRead e-book platform to provide access to book content, user highlights, and annotations with efficient cache management for research and literature analysis workflows. (node)
✅ nasa-mcp-server: Integrates with NASA and JPL APIs to provide access to astronomy images, satellite data, space weather information, Mars rover photos, and more through a unified interface built with TypeScript. (13 tools) (node)
❌ figma-context: Bridges AI systems with Figma design platform, transforming complex API responses into structured design information for easier understanding of layout properties, styling, and text content. (node)
❌ irag-mcp-server: A Model Context Protocol server that enables Claude Desktop to generate images using Baidu's iRAG image generation API through a standardized interface. (node)
❌ awslabs.nova-canvas-mcp-server: A Model Context Protocol server that lets you interact with a Nova Canvas from any MCP client. (python)
❌ freepik: Integrates with Freepik's API for searching and downloading icons, managing design resources, and generating images through text-to-image capabilities with job tracking and completion polling. (python)
✅ grok2-image-mcp-server: Enables AI assistants to generate images through the Grok2 model using stdio transport for seamless integration into existing workflows. (1 tools) (node)
❌ image-gen-(jimeng-ai): Accepts text descriptions, generates corresponding images, and offers image download and save functions. (python)
✅ @kailashg101/mcp-figma-to-code: Extracts and analyzes components from Figma design files, enabling seamless integration between Figma designs and React Native development through component hierarchy processing and metadata generation. (3 tools) (node)
❌ tongyi-wanx: Enables image generation through Alibaba's Tongyi Wanx API, handling authentication, communication, and response formatting for applications requiring AI-generated visuals. (node)
❌ @nikolausm/huggingface-mcp-server: Provides access to Hugging Face's AI image generation models, including Stable Diffusion. (node)
❌ gemini-media-analysis: Provides image, audio, and video analysis tools using Google's Gemini AI for content description, transcription, and understanding with file caching for improved performance. (node)
❌ audius: Integrates with Audius music platform API, enabling user searches, track streaming, and playlist management for music discovery and artist analytics. (node)
❌ mcp-server-ancestry: Analyze family tree data from GEDCOM genealogy files. (python)
❌ figma-node-explorer: Integrates with the Figma API to extract and analyze design file structures, enabling exploration of node hierarchies and supporting design system management workflows. (node)
❌ hebcal-(jewish-calendar): Integrates with Hebrew calendar libraries to provide date conversions, yahrzeit calculations, and Torah portion information for Jewish religious observances. (node)
✅ 4oimage-mcp: Provides a bridge between AI systems and the 4o-image API for generating and editing high-quality images through text prompts with real-time progress updates. (1 tools) (node)
❌ grasshopper-mcp: Connects Grasshopper parametric design software with Claude through a bidirectional TCP server and Python bridge, enabling natural language control of architectural and engineering modeling workflows. (python)
❌ suno-music-generator: Enables AI assistants to generate custom music compositions with specified lyrics, style tags, and titles through the Suno API, delivering completed audio URLs without leaving the conversation context. (node)
❌ florence-2: Integrates with Florence-2 to enable advanced image analysis and manipulation tasks like visual question answering, image captioning, and content-based image retrieval. (python)
✅ @recraft-ai/mcp-recraft-server: Integrates with Recraft's image generation API to create and edit raster and vector images, apply custom styles, manipulate backgrounds, upscale images, and perform vectorization with fine-grained control over artistic properties. (9 tools) (node)
❌ dall-e-image-generation: Integrates with OpenAI's DALL-E API to generate and save images from text descriptions. (go)
❌ mcp-birdstats: Integrates BirdNET-Pi and eBird APIs to enable cross-referencing bird detection data with observation records for ecological research and bird watching insights. (node)
❌ penpot-mcp: Integrates with Penpot's API to enable project browsing, file retrieval, object searching, and visual component export with automatic screenshot generation for converting UI designs into functional code. (python)
❌ cooper-hewitt: Integrates with Cooper Hewitt Museum's collection API to enable searching and retrieving detailed information about artifacts for art research and cultural analysis. (node)
❌ lottiefiles: Integrates with the LottieFiles API to enable search and retrieval of animations by keywords, popular collections, and detailed information without leaving the conversation interface. (node)
❌ photoshop: Provides a bridge to Adobe Photoshop for executing image editing operations including document creation, layer manipulation, filters, text, and Adobe Stock integration (python)
✅ sketchfab-mcp-server: Integrates with Sketchfab to enable searching, viewing details, and downloading 3D models in various formats using an API key for authentication. (4 tools) (node)
❌ mcp-asset-gen: Enables image generation from text prompts via OpenAI's API, returning the created image saved to a specified file path (node)
❌ tmdb-movie-data: Integrate TMDB movie data for search, trending, and recommendation capabilities for films. (node)
✅ mcp-openverse: Integrates with Openverse's Creative Commons image collection to search and retrieve openly-licensed images with detailed filtering options, attribution information, and specialized essay illustration features for finding relevant academic content. (5 tools) (node)
❌ nasa-mcp: Integrates with NASA APIs to provide real-time astronomical data, space weather information, Earth imagery, and exoplanet research capabilities without requiring technical knowledge of NASA's API structure. (python)
❌ national-parks-service: Provides real-time National Park Service data for searching parks by location or activities, retrieving detailed information, and accessing current alerts and closures using TypeScript and requiring an NPS API key for authentication. (node)
❌ bangumi-tv: Integrates with Bangumi TV API to retrieve anime information, user data, and media details for tracking and discovering anime and manga collections (python)
❌ dracor-(drama-corpora-project): Integrates with the Drama Corpora Project API to enable analysis of dramatic texts, character networks, and literary themes across different languages and historical periods. (python)
❌ bibliothèque-nationale-de-france-(gallica): Enables searching and generating research reports from the Bibliothèque Nationale de France's Gallica digital library through natural language queries or specific metadata fields with automatic citation and organization. (python)
❌ comfy-mcp-server: Integrates with ComfyUI to enable text-to-image generation using customizable Stable Diffusion workflows. (python)
❌ midjourney: Integrates with Midjourney's image generation API to create, blend, upscale, and describe images with support for aspect ratios, variations, and reference inputs. (python)
❌ runwayml-+-luma-ai: Integrates with RunwayML and Luma AI to generate, manage, and enhance videos and images with features like text-to-video conversion, image animation, and content upscaling through asynchronous progress tracking. (node)
❌ medadapt: Provides medical students and educators with curated educational resources from PubMed and NCBI Bookshelf through a FastMCP-powered system that enables searching, generating topic overviews, creating learning plans, and extracting key points from medical literature. (python)
❌ jewish-library: Integrates Jewish texts using Tantivy search engine to provide insights, answer questions, and analyze themes from religious Jewish literature. (python)
✅ minimax-mcp-js: Official JavaScript implementation that integrates with MiniMax's multimodal capabilities for image generation, video creation, text-to-speech, and voice cloning across multiple transport modes. (8 tools) (node)
❌ ideogram-images: Integrates with the Ideogram API to enable image generation and manipulation based on textual descriptions or parameters (node)
❌ speckle: Integrates with Speckle to enable querying and analyzing 3D design and AEC project data, including listing projects, retrieving details, searching by name or description, and accessing model versions for architecture, engineering, and construction professionals. (python)
❌ bazi-astrology: Provides a bridge to Chinese BaZi astrology calculations, enabling fortune-telling and personality analysis based on birth date and time without specialized knowledge of the complex calculation systems. (node)
❌ scenario-ai: Provides a bridge to the Scenario.com API for generating images from text prompts and removing backgrounds from existing images through authenticated access with environment variables. (python)
❌ adobe-illustrator: Integrates with Adobe Illustrator on MacOS using JavaScript and AppleScript to enable creation and manipulation of vector graphics for automated design tasks. (python)
❌ @deepdataspace/dinox-mcp: Empower LLMs with fine-grained visual understanding — detect, localize, and describe anything in images with natural language prompts. (node)
❌ mcp-sonic-pi: Connects AI systems to the Sonic Pi music programming environment, enabling creation and control of musical compositions through Ruby code with features for playback, pattern access, and live coding. (python)
❌ ableton-live: Integrates with Ableton Live to enable music production control including session management, track creation, MIDI editing, and audio effect manipulation for enhanced creative workflows. (python)
❌ bonsai-bim-(blender-ifc): Connects Claude to Blender for analyzing and interacting with IFC building models through five specialized tools for querying project information, listing entities, examining properties, exploring spatial structures, and analyzing element relationships. (python)
❌ spline-3d-design: Connects to Spline 3D design tool API for creating, manipulating, and exporting 3D scenes with support for animations, model imports, and event-based interactions. (node)
❌ swedish-national-archives-(riksarkivet): Provides access to the Swedish National Archives digital collections through IIIF APIs, enabling search of historical records, browsing of archival collections, and retrieval of digitized documents and images with flexible cropping, sizing, and format options. (python)
❌ cinema-4d: Enables Claude to interact with Cinema 4D through a socket-based communication system for scene manipulation, rendering, and animation directly from conversations. (python)
❌ ableton-mcp: Enables control of Ableton Live music production software through a bidirectional communication system that supports track creation, MIDI editing, playback control, instrument loading, and library browsing for music composition and sound design workflows. (python)
❌ figma-mcp-pro: Integrates with Figma API to retrieve design files, extract design tokens and CSS properties, process designer comments for implementation instructions, and download assets for automated design-to-code conversion across 10 frameworks including React, Vue, Angular, SwiftUI, and mobile platforms. (node)
❌ nasa-astronomy-picture-of-the-day: Integrates with NASA's Astronomy Picture of the Day API to retrieve daily space images and descriptions directly within the Cursor IDE development environment. (node)
❌ o'reilly-learning-platform: Integrates with O'Reilly's learning platform API to search and retrieve technical content from their extensive library, returning structured metadata including titles, authors, ratings, and URLs. (python)
❌ image-generation-(flux): Bridges Claude with the Replicate API to generate images using the Flux model directly within conversations through customizable parameters and asynchronous processing. (node)
❌ unsplash: Connects to Unsplash's API to enable photo searching with customizable filters, detailed image information retrieval, and random photo fetching for seamless imagery integration in conversations. (go)
✅ @jayarrowz/mcp-figma: Integrates with Figma's API to enable viewing, manipulating, and collaborating on design files through comprehensive access to file operations, comments, components, and team resources. (31 tools) (node)
❌ biomcp-python: Integrates with biomedical databases including ClinicalTrials.gov, PubMed, and MyVariant.info to provide structured access to clinical trials, research articles, and genetic variants with intelligent data rendering and source attribution. (python)
❌ leonardo-ai: Integrates with Leonardo AI's image generation platform for creating custom images with specific models, checking job status, and managing generation history through the Leonardo API. (python)
❌ flux-studio: Bridges Flux's image generation capabilities to coding environments, enabling text-to-image, image-to-image, inpainting, and structural control operations directly within IDEs through TypeScript-to-CLI command translation. (python)
❌ image-generation-(replicate): Integrates with Replicate's API to generate images using Stable Diffusion XL, providing endpoints for creating and checking image generation predictions with authentication and CORS support. (python)
❌ flux-image-generator: Enables text-to-image generation through the Flux API on Cloudflare Workers with customizable parameters for dimensions, aspect ratio, and inference steps. (node)
❌ figma-chunked: Provides a memory-efficient interface to the Figma API that handles large files by breaking operations into manageable chunks with pagination support, filtering capabilities, and resume functionality for retrieving design data without memory constraints. (node)
❌ dall-e: Integrates with OpenAI's DALL-E API to enable image generation with fine-grained control over parameters including model selection, size, quality, and style through a command-line interface. (node)
❌ vsegpt-image-generator: Integrates with VseGPT API to generate images from English-language prompts and store them locally with timestamp-based filenames. (python)
❌ piapi-image-generation: Integrates with PiAPI to enable AI-driven image generation from text prompts for content creation and visual design tasks. (node)
❌ apple-books-mcp: Provides access to Apple Books library data, enabling retrieval and search of book collections, highlights, notes, and reading activity for personalized book organization and recommendations. (python)
❌ penrose: Integrates with Penrose's domain-specific languages to generate mathematical diagrams from natural language inputs. (node)
❌ airgen: Generates visual assets like images, logos, icons, and SVGs using OpenAI's DALL-E models, providing designers and developers with a streamlined tool for intelligent asset creation across various styles and sizes. (node)
❌ tmdb-(the-movie-database): Provides a bridge to The Movie Database API for searching and retrieving detailed movie information with filtering by title, year, and pagination (node)
❌ dall-e-image-generator: Integrates DALL-E 3 for on-demand generation of custom images from text prompts. (node)
❌ decent-sampler-drums: Integrates with DecentSampler to generate drum kit configurations by analyzing WAV samples and creating XML-based presets with velocity layers and muting groups. (node)

Browser Automation

Tools for browsing, scraping, and automating web content in AI-compatible formats.

❌ mcp-desktop-automation: Enables desktop automation with RobotJS for screen capture, keyboard input, and mouse control, allowing direct interaction with desktop applications without manual intervention. (node)
✅ mcp-jinaai-grounding: Integrates JinaAI's content extraction and analysis capabilities for web scraping, documentation parsing, and text analysis tasks. (1 tools) (node)
✅ @browserstack/mcp-server: Integrates with BrowserStack's testing infrastructure to enable automated and manual testing across browsers, devices, and platforms for debugging cross-browser issues and verifying mobile app functionality. (19 tools) (node)
❌ website-downloader: Integrates wget-based website downloading capabilities to enable offline archiving and analysis of web content while preserving site structure. (node)
❌ undetected-chromedriver: Provides a browser automation server that bypasses anti-bot measures for web scraping, automated testing, and data collection from sophisticated websites. (python)
❌ scenic-gui-automation: Provides automation and testing capabilities for Scenic Elixir GUI applications through keyboard input simulation, mouse interaction, and real-time connection monitoring via a dual-architecture TCP server and TypeScript interface. (node)
✅ @deventerprisesoftware/scrapi-mcp: Enables web scraping from sites with bot detection, captchas, or geolocation restrictions through residential proxies and automated captcha solving for content extraction in HTML or Markdown formats. (2 tools) (node)
✅ firecrawl-mcp: Integration with FireCrawl to provide advanced web scraping capabilities for extracting structured data from complex websites. (8 tools) (node)
❌ linkedin-profile-scraper: Integrates with LinkedIn Profile Scraper API to asynchronously retrieve profile data including skills, certifications, publications, and honors for recruitment tools or professional data analysis. (python)
✅ @executeautomation/playwright-mcp-server: Automate web browsers for testing, scraping, and visual analysis. (32 tools) (node)
❌ manus: Orchestrates specialized agents for collaborative task execution with file operations, shell commands, and browser automation capabilities through a TypeScript-based API. (node)
❌ adspower-browser-manager: Enables AI-driven browser profile management through AdsPower's local API, providing tools for creating, updating, opening, and deleting browsers with customizable fingerprints and proxy configurations. (node)
❌ computer-control-mcp: Enables desktop automation through mouse control, keyboard input, screenshots, OCR, and window management for direct interaction with graphical user interfaces (python)
❌ scrapybara-(virtual-ubuntu): Provides a bridge to virtual Ubuntu desktops for browsing the web, running code, and automating tasks through a sandboxed environment with bash command execution and natural language control. (node)
❌ scapegraph: Integrates with ScapeGraph API to enable web scraping and graph-based data analysis for efficient extraction and processing of large-scale web data. (python)
❌ xiaohongshu-search-and-comment: Enables AI to search and analyze content from Xiaohongshu (Little Red Book) social media platform through web scraping, providing access to comments and search results for market research and trend analysis in the Chinese consumer market. (python)
❌ browser-use-mcp-server: Provides an async browser automation server using OpenAI's GPT-4o model, enabling remote web navigation, content extraction, and task execution with configurable browser contexts. (python)
❌ browser-automation-(playwright): Provides browser automation capabilities using Playwright, enabling web page navigation, element interaction, screenshot capture, JavaScript execution, and screenshot analysis for web testing and automated browsing workflows. (node)
❌ playwright-console-debugger: Enables real-time web debugging by using Playwright to open browsers, monitor console logs, and track network requests for structured analysis of web applications. (python)
❌ website-to-markdown-converter: Converts web content to high-quality Markdown using Mozilla's Readability and TurndownService, enabling clean extraction of meaningful content from URLs or HTML files for analysis and document conversion. (node)
❌ web-content-explorer: Fetches and explores web content with recursive link-following capabilities, using a dual-strategy approach with axios and puppeteer fallback to provide reliable document retrieval within time constraints. (node)
❌ raccoon-ai-(lam-api): Enables web browsing, data extraction, and task automation through Raccoon's LAM API, allowing users to search websites, fill forms, navigate UI elements, and extract structured data based on defined schemas. (python)
❌ browse-together-(playwright): A co-browser controlled by both you and your AI assistant (node)
❌ twitter: Integrates with Twitter through browser session cookies to enable posting tweets, searching content, retrieving timelines, managing user interactions, and monitoring social media activity without requiring official API access. (python)
❌ x-(twitter)-scraper: Integrates with X using the agent-twitter-client library, enabling tweet retrieval and posting within Docker containers with proxy support for network isolation. (node)
✅ playwright-mcp: Playwright MCP enables browser automation and interaction recording by capturing DOM interactions, screenshots, and page navigation events to generate reproducible test scripts through a visual, context-driven workflow. (5 tools) (node)
❌ playwright-cdp: Integrates Playwright and Chrome DevTools Protocol to enable advanced web automation, testing, and analysis through browser control and interaction. (node)
❌ notte-browser: Provides a bridge between AI and Notte's cloud browser technology, enabling web automation, scraping, and autonomous task completion on websites without direct browser management. (python)
❌ mcp-browser-use: Enables web browsing capabilities for any MCP client through a simple command that leverages your existing LLM configuration without additional API costs. (python)
❌ playwright-screenshot: Enables webpage screenshot capture using Playwright and CDP to connect with remote Chrome instances for visual testing and content analysis (node)
❌ deco-site-loaders: Transforms Deco site loaders into dynamic tools by extracting schemas from metadata, enabling seamless discovery and invocation of website capabilities through Server-Sent Events (node)
❌ @browsercatco/mcp-server: Enables LLMs to interact with web pages through cloud-based browser automation for navigation, screenshot capture, element interaction, and JavaScript execution without local browser installation. (node)
✅ mcp-server-weibo: Enables scraping of Weibo user information, feeds, and search functionality with tools for user discovery, profile retrieval, and feed access (5 tools) (node)
❌ mcp-rquest: Enables LLMs to make advanced HTTP requests with realistic browser emulation, bypassing anti-bot measures while supporting all HTTP methods, authentication, and automatic response handling for web scraping and API interactions. (python)
✅ @angiejones/mcp-selenium: Automates web browser actions with Selenium WebDriver. (14 tools) (node)
❌ screenshot-server: Captures web page screenshots using TypeScript and Puppeteer, enabling automated visual content processing for web testing, archiving, and data collection. (node)
❌ scrapling-fetch-mcp: Enables AI to access text content from websites protected by bot detection mechanisms through three protection levels (basic, stealth, max-stealth), retrieving complete pages or specific content patterns without manual copying. (python)
❌ puppeteer-linux: Enables browser automation on Linux systems for web interactions, screenshots, and JavaScript execution using Puppeteer (node)
❌ web-ux-evaluator: Enables automated browser interactions for evaluating web application user experiences, capturing console logs and network requests to generate detailed usability reports and recommendations. (python)
❌ safari-browser-automation: Automates Safari browser on macOS through AppleScript integration, enabling web navigation, element interaction, form filling, JavaScript execution, and screenshot capture for testing and data extraction workflows. (node)
❌ uber-eats-automation: Integrates with Uber Eats to enable automated menu searches and food order placements via browser interactions, streamlining the food discovery and ordering process. (python)
❌ browserloop: Captures web page screenshots using Playwright with support for full-page, element-specific, and viewport screenshots in PNG, JPEG, and WebP formats, featuring cookie authentication, domain filtering, and configurable quality settings for web testing and visual verification workflows. (node)
❌ @nicholmikey/chrome-tools: Integrates with Chrome's DevTools Protocol to enable remote control of browser tabs, including JavaScript execution, screenshot capture, and network traffic monitoring. (node)
❌ web-crawler: Enables web crawling capabilities for extracting website content in markdown format, containerized with Docker for easy deployment on Render.com and accessible through a health check endpoint. (python)
❌ html-page-preview: Provides HTML file preview and analysis capabilities by leveraging Puppeteer for screenshot capture and content parsing, enabling web testing and content visualization tasks. (node)
❌ web-llm-playwright: Provides browser-based local LLM inference by running Web-LLM models entirely in a headless Chromium browser without external API dependencies, supporting multiple quantized models with dynamic switching and screenshot debugging for privacy-sensitive offline workflows. (node)
❌ brave-browser: Integrates with Brave browser to enable web automation tasks like opening tabs, navigating pages, and extracting content. (python)
✅ @modelcontextprotocol/server-puppeteer: Navigate websites, fill forms, and capture screenshots programmatically. (7 tools) (node)
❌ android-uiautomator2: Provides a bridge between Android devices and automation tools for controlling apps, interacting with UI elements, and capturing screenshots through UIAutomator2 technology. (python)
❌ scrappey: Bridges AI models with Scrappey's web automation platform, enabling browser session management, HTTP requests, and complex browser actions while automatically handling anti-bot protections and enhancing web content with CSS selectors for interactive elements. (node)
✅ fetch-mcp: Fetches web content and YouTube video transcripts, converting HTML to Markdown and extracting timestamps for reference in conversations. (2 tools) (node)
❌ cloudbrowser: Provides an anti-association fingerprint browser environment and automated interaction APIs. (node)
✅ @kazuph/mcp-fetch: Integrates web scraping and image processing capabilities to fetch, extract, and optimize web content. (1 tools) (node)
❌ deepwebresearch: Enables deep web research through parallel multi-query execution, intelligent content extraction, and screenshot capture using TypeScript and Playwright for comprehensive information gathering across multiple sources. (node)
❌ tavily-mcp: Integrates with Tavily API to provide real-time web search and content extraction capabilities for research, aggregation, and fact-checking tasks. (node)
❌ youtube-transcript-extractor: Extracts YouTube video transcripts from various URL formats using a command-line tool, enabling content analysis and subtitle generation. (python)
❌ x-tweets: Automates tweet scheduling and posting by integrating Google Sheets with Twitter using web automation. (python)
❌ baseline-(web-platform-compatibility): Provides real-time browser compatibility status for Web Platform APIs by connecting to the WebStatus API, helping web developers make informed decisions about feature usage (node)
❌ firecrawl: Integrates with the Firecrawl API to enable web scraping and intelligent content searching for extracting structured data and performing customizable searches. (node)
❌ pyppeteer-browser-automation: Enables AI assistants to control headless browsers for web automation tasks including navigation, screenshot capture, element interaction, and dynamic page information access. (python)
❌ screenshotone-mcp-server: Enables AI to capture and process screenshots of webpages with customizable parameters through the ScreenshotOne API with Cloudflare CDN integration for image storage and retrieval. (node)
❌ omniparser-autogui: Integrates computer vision and automation libraries to enable AI-assisted control of desktop applications through visual analysis and GUI interactions. (python)
❌ puppeteer: Enables browser automation within Home Assistant through Puppeteer, providing web navigation, element interaction, screenshot capture, and JavaScript execution capabilities in a containerized environment. (node)
❌ patchright-stealth-browser: Provides stealth browser automation capabilities through a containerized server that avoids anti-bot detection systems while offering essential tools for navigating websites, interacting with elements, and extracting content. (node)
❌ wechat-miniprogram: Enables Claude to control WeChat MiniProgram development environments through HTTP requests for navigation, element interaction, and JavaScript evaluation. (python)
❌ groundng-(qa-for-cursor): Automates web testing by putting the client in a feedback loop. Test recording, execution, and discovery with robust element identification and vision-based fallback mechanisms. (python)
❌ web-curl: Enables web content retrieval and API interaction with customizable resource blocking, authentication options, and automatic URL/search query detection for information retrieval and web automation tasks (node)
❌ webmcp: Turn any website into an MCP server with customizable tools. (node)
✅ chrome-debug-mcp: Provides browser automation capabilities through Chrome's debugging protocol with session persistence, enabling web scraping, testing, and automation tasks with tools for screenshots, navigation, element interaction, and content retrieval. (10 tools) (node)
❌ kubernetes-lens: Bridges Claude with the Kubernetes Lens desktop application through Playwright automation, enabling cluster analysis and management via UI interactions and console log capture. (node)
❌ selenium-webdriver: Enables automated web interactions through Selenium WebDriver operations for navigation, element manipulation, screenshot capture, and local storage management in Chrome and Firefox browsers. (python)
❌ crawl4ai-(web-scraping-&-crawling): Integrates web scraping and crawling capabilities with tools for single-page content extraction, metadata retrieval, and Google search functionality, enabling workflows that require web content analysis, data collection, or online research tasks. (python)
❌ apify-rag-web-browser: Integrate with Apify's open-source RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown. (node)
❌ lsd-sql: Enables querqying and analyzing web content using LSD SQL, a DSL for extracting structured data from websites in real-time. (python)
❌ chrome-debug-mcp-server: A Model Context Protocol server that connects to Chrome debugging ports, enabling browser automation with persistent login sessions. (node)
❌ playwright-lighthouse: Combines Playwright's browser automation with Lighthouse's auditing capabilities to analyze website performance, generate detailed reports, and capture screenshots for web development optimization. (node)
✅ gologin-mcp: Manage your GoLogin browser profiles and automation directly through AI conversations. This MCP server connects to the GoLogin API, letting you create, configure, and control browser profiles using natural language. (58 tools) (node)
❌ crawlab: Integrates with Crawlab to enable AI-driven web scraping, task automation, and data extraction workflows through spider management, file operations, and resource access tools. (python)
❌ puppeteer-browser-automation: Integrates with Puppeteer to provide browser automation capabilities for web navigation, interaction, and data extraction. (python)
✅ @automatalabs/mcp-server-playwright: Control browsers to perform sophisticated web interactions and visual tasks. (10 tools) (node)
✅ @cmann50/mcp-chrome-google-search: Integrates Google search and webpage content extraction via Chrome browser automation, enabling access up-to-date web information for tasks like fact-checking and research. (2 tools) (node)
✅ blowback-context: Integrates with frontend development environments to provide real-time feedback and debugging capabilities through browser automation, capturing console logs, monitoring HMR events, and enabling DOM interaction without leaving the conversation interface. (11 tools) (node)
❌ doc-scraper-(jina.ai): Converts web documentation to clean markdown using Jina.ai's API, enabling easy transformation of online docs for content migration or offline use. (python)
❌ screenshot-website-fast: Captures full-page website screenshots using Puppeteer and automatically splits them into 1072x1072 pixel tiles optimized for vision model processing with robust error handling and retry logic. (node)
❌ awesome-cursor: Built for Cursor, integrates screenshot capture, web page structure analysis, and code review capabilities for automated UI testing, web scraping, and code quality checks. (node)
❌ browser-use-mcp: Enables AI to automate web browsing tasks through a unified interface that accepts natural language instructions for navigation, searching, and data extraction across multiple LLM providers. (python)
❌ browser-operator: Enables Claude to control web browsers through Playwright for automated navigation, form filling, and element interaction while maintaining persistent sessions and supporting manual intervention for sensitive tasks. (python)
❌ deno-playwright: Integrates with Playwright and Deno to enable browser automation for web navigation, interaction, and data extraction tasks. (node)
✅ hyperbrowser-mcp: Enables web browsing capabilities through tools for content extraction, link following, and browser automation with customizable parameters for scraping, data collection, and web crawling tasks. (10 tools) (node)
❌ fetch-browser: Fetch Browser enables headless web content retrieval and Google searching without API keys, supporting multiple output formats for web scraping and content analysis tasks. (node)
✅ mcp-jinaai-reader: Extracts and processes web content for efficient parsing and analysis of online information (1 tools) (node)
✅ fetcher-mcp: Fetches and extracts web content using Playwright's headless browser capabilities, delivering clean, readable content from JavaScript-heavy websites in HTML or Markdown format for research and information gathering. (2 tools) (node)
❌ mcp-server-chatgpt-app: Enables interaction with the ChatGPT macOS app through AppleScript automation, allowing tools to send prompts via keyboard input simulation without switching interfaces. (python)
❌ web-scraper: Connects Claude Desktop to a local web scraper for retrieving and processing website content in markdown format with flexible options for user agent simulation and custom headers. (python)
❌ playwright: Integrates Playwright browser automation with AI models to enable intelligent web interactions, testing, and data extraction. (node)
❌ docs-scraper: Scrapes web-based documentation through multiple crawling strategies like sitemap traversal and menu navigation, enabling structured content extraction with rate limiting and robots.txt compliance (python)
❌ dom-screenshot: Captures screenshots of specific DOM elements through an interactive browser overlay that allows users to hover and click on webpage elements to generate PNG images using html2canvas. (node)
❌ browser-tools: Integrates with Chrome DevTools to provide browser debugging capabilities including console logs, network requests, screenshots, DOM inspection, and Lighthouse audits for web development without leaving the assistant interface. (node)
❌ browser-automation: Selenium-powered browser automation server that enables web interactions like navigation, clicking, form filling, and scrolling with minimal human supervision for web scraping, testing, and automated browsing scenarios. (python)
❌ jina-reader: Convert web content to readable Markdown format. (node)
❌ url-fetch: Enables Claude to retrieve and display web content, JSON data, and images directly within conversations through specialized URL fetching tools. (python)
❌ e2e-browser-automation: Enables end-to-end testing and web automation through browser interaction capabilities for extracting content, following links, and executing automated browsing workflows with configurable headless operation. (node)
❌ simple-tool-(website-fetcher): Integrates with web servers to fetch and retrieve webpage content for analysis and processing tasks. (python)
❌ @djyde/browser-mcp: Browser extension that enables real-time interaction with web pages, allowing retrieval of content as markdown, CSS styling modifications, and browser history searches. (node)
❌ ai-cursor-scraping-assistant: Streamlines web scraper development for e-commerce sites by analyzing website structure, detecting anti-bot protections, and generating Scrapy or Camoufox scrapers through a structured workflow. (python)
❌ cloudflare-browser-rendering-(playwright): Enables browser automation through structured accessibility snapshots for web navigation, form-filling, element interaction, and data extraction without requiring vision models. (node)
❌ stealth-browser: Provides stealth browser capabilities using Playwright and anti-detection techniques for evading bot detection systems during web scraping and automated testing. (node)
❌ playwright-stealth: Enables stealth web browsing automation with Playwright for tasks like navigation, form filling, and screenshot capture while avoiding detection by anti-bot systems (node)
❌ moling: Enables AI to interact with local system resources through a secure, configurable server that provides browser automation, file operations, and command execution with robust security measures. (go)
❌ webscraping-ai-mcp: Provides web scraping capabilities with proxy support, JavaScript rendering, and structured data extraction for robust web content retrieval and analysis. (node)
❌ choreograph-(playwright-browser-&-electron-automation): Automates web browsers and Electron desktop applications using Playwright with support for Chromium, Firefox, and WebKit, enabling clicking, typing, screenshots, JavaScript evaluation, navigation, window management, and file system operations for testing and application interaction workflows. (node)
✅ exa-mcp-server: A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way. (8 tools) (node)
❌ fetch: Fetches and transforms web content into various formats. (node)
❌ shufersal: Automates Shufersal supermarket shopping by converting recipe links into shopping lists, searching the product catalog with personalized results for logged-in users, and adding items directly to the cart through browser automation. (node)
❌ simple-website-fetcher: Fetches website content using Python and MCP, enabling web scraping and content analysis tasks (python)
❌ usescraper: Integrates with UseScraper API to extract web content in various formats with advanced proxy options and custom data extraction capabilities. (node)
❌ browser: Provides a headless browser interface for testing and analyzing frontend applications, enabling screenshot capture, DOM extraction, CSS analysis, accessibility testing, and responsive design verification across different viewports. (python)
❌ cloudflare-browser-rendering: Browser automation for Cloudflare Workers and quick browser actions. (node)
✅ @thedaviddias/mcp-llms-txt-explorer: Provides a bridge for exploring websites with llms.txt files, enabling fetching and parsing of website-specific language model instructions for context-aware interactions in web-based environments. (2 tools) (node)
❌ skyvern: Control your browser with Skyvern's browser automation platform. (python)
❌ x-(twitter): Integrates with X using real browser APIs to bypass rate limits and enable extensive social media operations and data analysis. (python)
❌ screenshotone: Integrates with ScreenshotOne's API to enable rendering of website screenshots for visual testing, content monitoring, and creating web page references. (node)
❌ omniparser: Provides a robust UI automation framework leveraging advanced computer vision techniques for precise element detection, interaction, and verification across different interfaces (python)
❌ playwright-browser-automation: Enables browser automation through structured accessibility snapshots for web navigation, form-filling, and tab management without requiring vision-tuned models. (node)
❌ puppeteer-vision-mcp-server: Automates web scraping by intelligently handling cookie banners, CAPTCHAs, and paywalls to extract clean markdown content from websites (node)
❌ uber-eats: Integrates with Uber Eats using browser automation to enable restaurant searches, menu exploration, and food order placement for applications requiring food delivery capabilities. (python)
❌ element-selector: Chrome extension that enables developers to interactively select, capture, and store web page DOM elements with their HTML structure, computed styles, and screenshots for design analysis and debugging. (node)
✅ vibe-eyes: Enables LLMs to visualize and debug browser-based games and applications by capturing canvas content, console logs, and errors, then processing visual data into compact SVG representations for seamless debugging. (1 tools) (node)
❌ puppeteer-extra-stealth: Enables stealthy web automation with Puppeteer-Extra and Stealth Plugin for navigating websites, capturing screenshots, interacting with elements, and executing JavaScript while avoiding detection as automation. (node)
❌ playwright-plus: Enables web automation with Playwright for browsing, form filling, screenshot capture, and JavaScript execution, plus a simple note storage system for content extraction and manipulation. (python)
❌ steel-puppeteer: Integrates Puppeteer with Steel SDK for browser automation, enabling complex web interactions and data extraction. (node)
❌ mcp_server_browser_use: Enables AI assistants to interact with web browsers through a FastAPI server for web browsing, content extraction, and automation tasks with configurable LLM providers and browser modes. (python)
❌ chrome-browser-automation: Enables AI-driven web automation through Chrome browser integration for tasks like navigation, interaction, form filling, and content extraction via WebSocket protocol. (python)
✅ mcp-web-content-pick: Extracts structured content from web pages using customizable selectors for crawling, parsing, and analyzing HTML elements without leaving the assistant interface. (1 tools) (node)
❌ url2snap-(website-screenshot): Captures website screenshots through the Abstract API and serves them locally, enabling visualization of web content without requiring direct site visits. (python)
❌ browser-scraping-&-search: Enables web scraping, internet searching, and local file interactions through Playwright, Firecrawl, and Tavily integrations for comprehensive content retrieval and manipulation. (python)
❌ configurable-puppeteer: Enables browser automation through Puppeteer with configurable launch options for Chrome and Firefox, supporting web testing, data extraction, form filling, and interactive demonstrations (node)
✅ @debugg-ai/debugg-ai-mcp: Provides zero-configuration end-to-end testing for web applications by creating secure tunnels to local development servers and spawning testing agents that interact with web interfaces through natural language descriptions, returning detailed test results with execution recordings and screenshots. (1 tools) (node)
❌ browser-control: Enables browser automation through a Firefox extension for tab management, webpage content extraction, history searching, and text highlighting via secure WebSocket communication. (node)
❌ website-downloader-(windows): Windows-compatible website downloader for efficient web content retrieval and storage, leveraging asynchronous processing and concurrent downloads for tasks like web scraping and content archiving. (python)
❌ playmcp-(playwright-browser-automation): Provides browser automation capabilities using Playwright, enabling web page navigation, element interaction, content extraction, screenshot capture, and JavaScript execution for web scraping, testing, and automated workflows. (node)
❌ webpage-screenshot: Captures visual screenshots of web pages using Puppeteer with support for authenticated workflows, manual login sessions with cookie persistence, and browser session management for monitoring protected applications and automated testing. (node)
❌ chrome-debug: Provides powerful browser control capabilities through Chrome DevTools Protocol and Puppeteer, enabling advanced web automation, scraping, and testing tasks. (node)
❌ browser-use: Provides browser automation capabilities for capturing screenshots, retrieving HTML, executing JavaScript, and accessing console logs from web pages. (python)
✅ mcp-cookie-server: Provides cookie management capabilities for web automation and testing workflows, enabling storage, retrieval, and manipulation of session state and authentication cookies across different web services. (6 tools) (node)
✅ @tokenizin/mcp-npx-fetch: Fetches and converts web content to Markdown using JSDOM and Turndown. (4 tools) (node)
❌ web-fetcher: Enables web content retrieval and processing through headless browsing with Playwright, extracting clean, readable text from complex web pages using Mozilla's Readability and Turndown for markdown conversion. (node)
❌ safari-screenshot: Integrates with Safari on macOS to capture web page screenshots, enabling automated visual testing and web archiving workflows. (node)
❌ browserbase: Automate web browsers remotely on a cloud environment. (node)
✅ @octomind/octomind-mcp: Enables AI-driven test automation through the Octomind platform for creating, executing, and analyzing end-to-end tests without leaving your development environment. (18 tools) (node)
❌ onenote-browser: Enables browsing and interaction with shared OneNote notebooks through browser automation for reading/writing pages, capturing diagrams, and maintaining session state (node)
❌ puppeteer-real-browser-mcp-server: Provides stealth browser automation using puppeteer-real-browser with anti-detection features, human-like interactions, proxy support, and captcha solving for web scraping, testing, and form automation that bypasses bot detection mechanisms. (node)
❌ chrome-browser-control: Enables fine-grained control over Chrome browser instances through the Chrome DevTools Protocol, allowing web navigation, element interaction, text input, and content extraction with automatic handling of dynamic content. (node)
✅ @kazuph/mcp-browser-tabs: Integrates with Chrome on macOS to retrieve and manage browser tab information using AppleScript. (4 tools) (node)
❌ mcp-pyautogui-server: Enables automated GUI testing and control across operating systems by wrapping PyAutoGUI to perform mouse movements, keyboard input, screenshot capture, and image recognition tasks. (python)
❌ jina.ai-reader: Provides a bridge to Jina.ai's reader service for fetching and parsing web content from URLs into markdown format suitable for analysis and summarization. (go)
✅ @just-every/mcp-read-website-fast: Extracts web content and converts it to clean Markdown format using Mozilla Readability for intelligent article detection, with disk-based caching, robots.txt compliance, and concurrent crawling capabilities for fast content processing workflows. (1 tools) (node)
❌ rayon-design-cad: Integrates with Rayon Design CAD interface using browser automation to enable shape creation and drawing method searches for AI-assisted design workflows. (python)
✅ @peng-shawn/mermaid-mcp-server: Converts Mermaid diagrams to PNG images using Puppeteer for high-quality headless browser rendering, supporting multiple themes and customizable backgrounds. (1 tools) (node)
❌ yingdao-mcp-server: Bridges AI with Yingdao RPA platform to automate business processes through local and cloud-based robotic process automation applications. (node)
✅ hyper-mcp-browser: Enables web browsing capabilities through Puppeteer and Chrome, allowing navigation, content extraction, and interaction with websites for scraping, analysis, and automated testing workflows. (2 tools) (node)
❌ cursor-a11y: Integrates accessibility testing capabilities using Puppeteer to perform automated WCAG compliance checks and generate remediation suggestions for web applications. (node)
❌ mcp-server-fetch: Retrieve and convert web content to markdown for analysis. (python)
❌ web-browser-(playwright): Integrates with Playwright to enable cross-browser web automation for tasks like scraping, testing, and content extraction. (python)
❌ skrape: Converts HTML pages into clean, structured Markdown for feeding web content into language models, enabling use cases like content analysis and information extraction. (node)
✅ mcp-node-fetch: Enables web content retrieval and processing with tools for fetching URLs, extracting HTML fragments, and checking site availability using Node.js's undici library. (3 tools) (node)
❌ mcp-playwright-scraper: Leverages Playwright and BeautifulSoup to enable robust web scraping and content extraction, converting complex JavaScript-heavy web pages into high-quality Markdown with browser automation capabilities. (python)

Cloud Platforms

Integrate with cloud services to manage and interact with cloud infrastructure.

✅ @netlify/mcp: Integrates with Netlify's platform for complete site management including project operations, deployments with zip uploads, team administration, extension configuration, and documentation access across hosting, build, and collaboration workflows. (6 tools) (node)
❌ nutanix-prism-central: Bridges to Nutanix's Prism Central API, enabling infrastructure teams to query and monitor virtualized resources like VMs, clusters, hosts, and networks without switching to the Prism web interface. (go)
❌ pulumi: Enables AI assistants to manage infrastructure as code through Pulumi Cloud API, providing capabilities to create and list stacks across organizations and projects (node)
❌ kubeblocks-cloud: Enables querying and managing KubeBlocks Cloud resources including organizations, environments, instances, and backups via the KB Cloud API for automated database operations. (go)
❌ qiniu-cloud-storage: Integrates with Qiniu Cloud to provide object storage management, CDN operations, and image processing capabilities for applications that need to handle cloud-stored assets or perform on-the-fly image transformations (python)
❌ aws-sdk: Enables direct interaction with AWS services through the AWS SDK v2, allowing users to query environments, manage resources, and analyze cloud infrastructure using credential management and sandboxed JavaScript execution. (node)
❌ alibaba-cloud-dms: Integrates with Alibaba Cloud's Data Management Service (DMS) API to provide unified metadata access and cross-engine data querying across diverse database ecosystems (python)
✅ aws-s3-mcp: Provides direct access to Amazon S3 storage for listing buckets, browsing objects, and retrieving file contents with automatic text extraction from PDFs and other file types. (3 tools) (node)
❌ aws-bedrock: Integrates AWS Bedrock, enabling natural language processing and task automation. (python)
❌ google-cloud-run: Deploys applications to Google Cloud Run through automated containerization, project setup, and service management with support for both local files and provided content. (node)
❌ @cloudflare/mcp-server-cloudflare: Manage KV stores, R2 storage, D1 databases, and Workers deployments. (node)
❌ spheron-protocol: Integrates with Spheron Protocol SDK to deploy and manage compute resources through natural language, enabling users to configure, deploy, and monitor cloud infrastructure without technical expertise. (node)
❌ modal-(serverless-python): Integrates with Modal's serverless platform to deploy and execute Python scripts in the cloud, enabling efficient distributed computing and data processing. (python)
❌ vertex-ai-gemini: Provides a bridge to Google Cloud's Vertex AI Gemini models with web search grounding, direct knowledge answering, and documentation-based responses through configurable tools and streaming support. (node)
❌ linode-mcp: Provides a bridge to the Linode cloud infrastructure API, enabling developers to query and manage cloud resources through conversational interactions with external tools. (python)
❌ kubernetes-pilot: Enables AI to manage Kubernetes clusters through a comprehensive set of tools for contexts, namespaces, pods, deployments, services, and other resources with optimized performance and context-aware operations. (python)
❌ azure-resource-graph: Enables querying and retrieving detailed information about Azure resources across subscriptions through Azure Resource Graph API for cloud infrastructure analysis and troubleshooting (node)
✅ @strowk/mcp-k8s: Control and monitor K8s clusters for management and debugging. (8 tools) (node)
❌ s3-tools: Integrates with AWS S3 to enable bucket listing and management, facilitating cloud storage operations for applications requiring file organization or content delivery. (python)
✅ mcp-server-esa: Provides a bridge to Alibaba Cloud's Edge Security Acceleration service for managing edge routines, deployments, routes, and sites through authenticated API operations. (23 tools) (node)
❌ dokploy: Middleware layer for managing containerized applications and infrastructure through Dokploy API with advanced connection management and simplified tool organization for project, application, database, and Docker container operations. (node)
❌ cloudzero: Integrates with CloudZero's v2 API to enable direct querying of cloud cost data, dimensions, budgets, and insights for financial teams analyzing spending patterns and optimization opportunities. (python)
❌ ali-oss: Provides a bridge between AI systems and Ali OSS cloud storage, enabling file upload, download, listing, and management operations through a RESTful API. (node)
❌ aws-bedrock-nova-canvas: Integrates with Amazon Bedrock's Nova Canvas model to generate images from text descriptions with customizable parameters like dimensions and seed control. (node)
❌ kubernetes-natural-language-commander: Converts natural language requests into valid kubectl commands for Kubernetes cluster management, enabling administrators to interact with their clusters without memorizing complex syntax (python)
❌ kong-konnect: Integrates with Kong API Gateway to enable management and analysis of API configurations, traffic patterns, and control plane settings through Kong's cloud APIs for DevOps teams maintaining API infrastructure. (node)
❌ proxmox: Enables AI systems to manage Proxmox virtualization environments with tools for monitoring nodes, controlling virtual machines, tracking storage, and maintaining cluster health (python)
❌ aiven: Provides direct access to Aiven's cloud database and messaging services, enabling management of PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch infrastructure through the Aiven API. (python)
❌ acurast: Provides a bridge to the Acurast decentralized computing platform for deploying scripts and monitoring processor performance metrics across distributed computing tasks. (node)
❌ sakura-cloud: Enables management of Sakura Cloud infrastructure resources including servers, disks, networks, and containerized applications through natural language commands. (node)
❌ arista-cloudvision: Enables Claude to interact with Arista CloudVision for network management tasks including device inventory, system events, connectivity monitoring, and tag creation through conversational prompts. (python)
❌ firebase: Integrates with Firebase services to enable user management, document operations, and file handling for applications using Firebase Authentication, Firestore, and Storage. (node)
❌ aws-resources: Provides a Python-based interface for executing AWS queries across services like S3 and CodePipeline, enabling DevOps tasks and cloud resource management. (python)
❌ aws-cost-explorer-and-bedrock-usage-analytics: Integrates with AWS Cost Explorer and CloudWatch to analyze cloud spending patterns and Bedrock model usage statistics for detailed cost monitoring and optimization. (python)
❌ railway: Integrates with Railway.app to enable management of deployments, monitoring of application performance, and automation of DevOps workflows within the Railway ecosystem. (node)
❌ cloudflare-backup: Automates backing up Cloudflare configurations to GitHub repositories, enabling version control and disaster recovery for DNS, Workers, and security settings. (node)
❌ workers-mcp: Enables MCP capabilities in Cloudflare Workers for deploying low-latency, scalable AI services at the network edge. (node)
❌ aws-nova-canvas: Bridges to Amazon's Nova Canvas image generation model through AWS Bedrock, enabling AI-powered image creation with configurable storage options. (python)
❌ @gutmutcode/mcp-server-cloudflare: Integrates with Cloudflare's API to enable management of DNS, CDN, and security configurations for web infrastructure automation. (node)
❌ nvidia-brev: Bridges Nvidia Brev, enabling natural language control of workspaces, deployments, and cloud resources. (python)
❌ gcp-mcp: Integrates with Google Cloud Platform to enable natural language management of cloud resources including compute, storage, networking, and databases through automated OAuth authentication. (python)
❌ lightweight-cloudflare-worker: Lightweight Cloudflare Workers-based MCP server implementation that enables custom API interactions with a basic greeting functionality, easily extendable for integration with external services. (node)
❌ cloudstack: Enables natural language management of Apache CloudStack infrastructure, translating requests into API calls for VM deployment, resource management, and infrastructure operations without requiring direct API knowledge. (go)
✅ cloudinary-mcp-server: Provides direct access to Cloudinary's Upload and Admin APIs for uploading, retrieving, searching, and managing digital media assets in your Cloudinary cloud. (5 tools) (node)
✅ aliyun-mcp-server: Integrates with Alibaba Cloud services to query and filter SLS logs, with future support for ECS instance management and serverless function deployment. (1 tools) (node)
✅ google-cloud-mcp: Integrates with Google Cloud services to provide direct access to Logging, Spanner, and Monitoring resources within conversations through authenticated connections. (17 tools) (node)
❌ terraform-cloud: Integrates with Terraform Cloud API to enable natural language management of infrastructure through workspace and run operations including creation, updates, planning, and application. (python)
❌ harvester-hci: Enables management of Harvester HCI clusters through a Go-based server that provides tools for handling both standard Kubernetes and Harvester-specific resources with human-readable output formatting. (go)
✅ apisix-mcp: Bridge LLMs with the APISIX Admin API to manage and analyze API gateway information. (32 tools) (node)
✅ @digitalocean/mcp: Integrates with DigitalOcean's cloud platform API to enable management of cloud resources, deployment of applications, and monitoring of infrastructure through natural language commands. (32 tools) (node)
❌ heroku: Facilitate seamless interaction between LLMs and the Heroku Platform. (node)
❌ opnsense: Provides Infrastructure as Code capabilities for OPNsense firewalls with declarative management of VLANs, firewall rules, DHCP configurations, DNS blocking, HAProxy load balancing, and network topology discovery through plan/apply workflows, automatic backups, and rollback capabilities. (node)
❌ modal: Enables AI systems to deploy and execute serverless applications in the cloud through Modal's platform, providing tools for application deployment and function execution with custom parameters. (python)
✅ alibabacloud-fc-mcp-server: Integrates with Alibaba Cloud Function Compute to deploy and manage serverless functions with multi-language runtime support, custom domain routing, and VPC configuration for automated cloud function lifecycle management. (12 tools) (node)
❌ kubernetes-manager: Manage Kubernetes cluster resources and deployments. (node)
❌ vercel-api: Integrates with Vercel's platform to manage deployments, DNS records, domains, projects, and environment variables through natural language interactions without navigating the Vercel dashboard or API. (node)
❌ box-mcp-server: Integrates with Box cloud storage to enable searching, reading, and processing of PDF and Word documents for applications like automated document analysis and content extraction. (node)
❌ aws-service-reference: Integrates with AWS Service Reference API to provide real-time access to AWS service capabilities and API actions for developers and cloud architects. (python)
❌ cloudinary: Integrates with Cloudinary to enable seamless image and video uploads with customizable parameters for dynamic content management. (node)
❌ pulumi-cloud-development: Integrates with Pulumi's cloud development platform to streamline infrastructure-as-code operations for efficient cloud resource orchestration and deployment. (python)
❌ azure: Integrates with Azure Blob Storage and Cosmos DB to enable secure reading, manipulation, and querying of cloud data resources. (python)
❌ hyperbolic-gpu: Integrates with Hyperbolic's decentralized GPU network to discover available instances, rent compute resources, establish SSH connections, and execute remote commands for on-demand machine learning workloads. (node)
✅ @cloudbase/cloudbase-mcp: Enables AI systems to deploy, monitor, and manage full-stack applications on Tencent CloudBase through tools for cloud environments, databases, functions, hosting services, and storage resources. (35 tools) (node)
❌ vercel: Integrates with Vercel's serverless infrastructure to provide a lightweight endpoint for AI model interactions and tasks like chatbots, content generation, and data analysis. (node)
❌ microsoft-graph-mcp-server: A comprehensive server that enables AI applications to interact with Microsoft 365 and Azure AD services through standardized Model Context Protocol interfaces. (python)
❌ minio-object-storage: Enables direct access to MinIO object storage for listing buckets, browsing objects, retrieving content, and uploading files with automatic bucket creation when needed. (python)
❌ cloudflare-logpush: Enables AI assistants to retrieve and manage Cloudflare Logpush jobs across multiple accounts, providing tools for monitoring and troubleshooting log delivery pipelines through conversational interfaces. (node)
❌ truenas-core: Integrates with TrueNAS Core storage systems to enable natural language control of user management, pool monitoring, dataset creation, ZFS properties, permissions, and Kubernetes storage provisioning with automated snapshot policies and NFS/iSCSI target configuration. (python)
❌ azure-resource-manager: Integrates with Azure cloud services to enable resource listing, management, and cost analysis through service principal authentication and the Azure Cost Management API (python)
❌ cloudflare-edge-services: Provides image generation, URL content extraction, and web search capabilities through Cloudflare Workers deployed globally on edge networks for high performance and scalability. (node)
❌ aws: Bridges AWS services with the AWS SDK v2, enabling secure access and management of AWS resources for cloud infrastructure and data processing tasks. (node)
❌ aws-ec2-pricing: Provides real-time AWS EC2 instance pricing data with powerful filtering capabilities for cost optimization and infrastructure planning (python)
✅ coolify-mcp-server: Enables comprehensive Coolify infrastructure management by exposing tools for creating, deploying, and tracking servers, applications, and team resources with robust operational capabilities. (26 tools) (node)
❌ terrakube: Provides a bridge to Terrakube infrastructure for managing workspaces, variables, modules, and organization resources through natural language interaction (node)
❌ cloud-foundry: Integrates with Cloud Foundry foundations to enable management of applications, services, and resources. (java)
❌ gcp-mcp-server: Enables developers to manage and interact with Google Cloud Platform resources like Compute Engine, Cloud Run, BigQuery, and Cloud Storage through a unified, tool-driven approach. (python)
❌ netlify: Integrates with Netlify's API to enable automated web deployment, serverless function management, and continuous deployment workflows for AI applications. (node)
❌ kubernetes-mcp-server: Powerful and flexible Kubernetes MCP server implementation with additional features for OpenShift. Besides the typical CRUD operations on any Kubernetes resource, this implementation adds specialized features for Pods and other resources. (go)
❌ argocd-mcp: Integrates with Argo CD to enable natural language management of Kubernetes GitOps applications, resources, and deployments without switching context from your assistant. (node)
❌ codepipeline: Enables AI assistants to manage and monitor AWS CodePipeline services through natural language commands, providing tools for pipeline execution, action approval, and metrics retrieval. (node)
❌ azure-table-storage: Enable efficient storage, retrieval, and querying of structured data in the cloud for large-scale applications. (node)
❌ kubevirt: Enables natural language management of virtual machines in Kubernetes environments through KubeVirt API, allowing users to list, start, and stop VMs without writing complex kubectl commands. (go)
❌ aws-cli: Bridges AWS CLI with natural language interaction, enabling direct execution of AWS commands for resource management without leaving your conversation interface. (node)
✅ akave-mcp-js: Integrates with Akave's S3-compatible storage platform to manage buckets and objects, upload/download files, generate signed URLs, and handle file operations with automatic text cleaning for common formats. (13 tools) (node)
❌ vmware-esxi: Provides a RESTful API for complete VMware ESXi/vCenter environment management including VM lifecycle operations and real-time performance monitoring through pyVmomi integration (python)
❌ azure-cli: Enables direct management of Azure resources through the Azure CLI, allowing users to list resources, fix configuration issues, and create new services using their local credentials. (java)
❌ mcp-clever-demo: Integrates with Clever Cloud's tools and services to enable application deployment, environment management, and resource monitoring. (node)
❌ alibabacloud-mcp-server: Provides a bridge to Alibaba Cloud services for managing ECS instances, viewing resources, monitoring metrics, and configuring VPC networks through natural language commands (python)
❌ yourware-mcp: Enables direct uploading of web projects to yourware.so hosting platform without leaving your development environment (python)
❌ @novitalabs/novita-mcp-server: Provides direct access to Novita AI's GPU cloud infrastructure for deploying, monitoring, and managing GPU-accelerated workloads and containers without leaving your conversation context. (node)
❌ power-platform-&-azure-cli-bridge: Bridges Power Platform CLI and Azure CLI commands with specialized tools for executing Dataverse environment operations, making Azure REST API requests, and performing Graph API operations. (node)
❌ cloud-infrastructure-manager: Provides unified cloud infrastructure management across AWS, DigitalOcean, Vultr, and Alibaba Cloud for creating virtual machines, configuring security groups, and handling DNS records through provider-specific modules that abstract underlying APIs. (python)
❌ harbor-container-registry: Enables AI systems to manage Harbor container registry resources including projects, repositories, tags, and Helm charts for streamlined DevOps workflows. (node)
❌ waldur: Integrates with Waldur's cloud management platform API to enable natural language-driven provisioning, monitoring, and billing of multi-provider cloud resources. (python)
❌ cloudflare-api: Integrates with Cloudflare's REST API to enable management of DNS records, cache purging, KV namespaces, R2 buckets, Workers domains, Hyperdrive databases, and Workflow instances through natural language interactions. (node)
❌ cloudflare-ai-gateway: Cloudflare's AI Gateway allows you to gain visibility and control over your AI apps. By connecting your apps to AI Gateway, you can gather insights on how people are using your application. (node)
❌ azure-resource-management: Integrates with Azure services to enable cloud resource management, including provisioning virtual machines, configuring networks, and monitoring subscriptions. (node)
✅ multicluster-mcp-server: Provides a bridge to Kubernetes multi-cluster environments for managing distributed resources through kubectl commands, service account connections, and seamless cross-cluster operations without switching contexts. (4 tools) (node)
❌ wildfly: Integrates with WildFly application servers to enable monitoring, configuration, and management of server resources and performance. (java)
❌ tencent-cloud-object-storage: Bridges AI assistants with Tencent Cloud Object Storage services, enabling file management, metadata retrieval, and storage analytics operations (node)
❌ vantage-cloud-cost-management: Provides real-time cloud cost management data across multiple providers (AWS, Azure, etc.) for analyzing spending patterns, tracking budgets, detecting anomalies, and optimizing cloud infrastructure costs. (go)
❌ portainer-container-management: Provides a bridge between AI and Portainer container management platform, enabling environment monitoring, access control management, and stack deployment through Docker and Kubernetes API proxying (go)
❌ openstack-commander: Enables secure management of OpenStack infrastructure through natural language commands for server, project, flavor, and image operations via authenticated CLI interactions. (java)
❌ aws-resource-manager: Manage AWS S3 and DynamoDB resources. (python)
❌ cloud-foundry-butler: Cleanup stale apps and services on a Cloud Foundry foundation. (node)
❌ ucloud: Provides a bridge to the UCloud cloud computing platform, enabling developers to interact with cloud infrastructure through standardized tools for instance management, metrics retrieval, and resource status tracking. (go)
❌ azure-impact-reporter: Enables AI to report Azure infrastructure issues by authenticating with Azure credentials and submitting standardized workload impact reports through the Azure Management API (python)
✅ edgeone-pages-mcp: Enables rapid deployment of HTML content to Tencent's EdgeOne Pages service with integrated Functions and KV store support for edge hosting (2 tools) (node)
❌ aws-lambda: Enables LLMs to interact with AWS Lambda functions, providing access to private resources, AWS services, and Lambda's capabilities for data processing and external API integration. (python)
❌ aws-labs: Integrates with AWS services including Bedrock Knowledge Bases, Nova Canvas, Step Functions, Lambda, IAM, and Cost Explorer to enable enterprise workflows, cost analysis, infrastructure management, and generative AI use cases through multiple specialized servers with sample applications and deployment guides. (python)
❌ kubernetes: Integrates with Kubernetes to enable natural language-based cluster management and command execution for streamlined DevOps workflows. (node)
❌ nomad: Provides a bridge to HashiCorp Nomad's cluster management capabilities, enabling job management, deployment tracking, namespace administration, node operations, and ACL management for infrastructure operations. (go)
❌ aws-s3: Provides secure, pre-signed URL-based access to AWS S3 bucket operations with configurable expiration times for simplified cloud storage interactions. (node)
❌ pure-storage-flashblade: Integrates with Pure Storage FlashBlade arrays to enable real-time monitoring, troubleshooting, and resource management. (python)
✅ @osaas/mcp-server: EyevinnOSC's MCP server enables AI assistants to provision and manage vendor-independent cloud infrastructure for databases, storage, and media processing through an open source API. (3 tools) (node)
❌ azure-java-sdk: Fetches Azure Java SDK documentation and code examples from Maven Central repositories, automatically retrieving the latest version metadata and README files for any Azure SDK package to provide quick access to usage examples and API documentation. (node)
❌ @niyogi/render-mcp: Deployment-related tooling for Render.com. (node)
✅ @felixallistar/coolify-mcp: Integrates with Coolify's deployment platform to manage self-hosted applications, databases, and infrastructure including 110+ one-click services, 8 database types, server connectivity validation, and environment variable handling. (10 tools) (node)
❌ authenticated-cloud-run: Enables secure hosting on Google Cloud Run with user-based IAM authentication, providing controlled access to custom servers over the internet for team collaboration. (node)
❌ spring-application-advisor: Integrates with Spring Application Advisor to provide insights and recommendations for optimizing Spring applications in Cloud Foundry environments. (java)
❌ akash-network: Bridges AI agents with the Akash Network, enabling deployment and management of decentralized applications on blockchain-based cloud computing infrastructure. (node)
❌ bunnyshell: Enables direct management of Bunnyshell cloud environments through natural language commands, supporting environment creation, component deployment, and remote development workflows via CLI capabilities. (node)
❌ azure-pricing: Integrates with Microsoft's Azure Retail Prices API to provide service family listings, product filtering, and monthly cost calculations for cloud pricing analysis and budget planning workflows. (python)
❌ amazon-s3: Provides a bridge to Amazon S3 storage services for listing buckets, browsing objects, retrieving file contents, uploading, downloading, and deleting files directly from conversations. (python)
❌ windows-365-cloud-pc: Integrates with Windows 365 Cloud PC Management API to enable listing and managing cloud PCs in a tenant environment through Microsoft Graph authentication and JSON-formatted data retrieval (python)
❌ tembo-cloud: Integrates with Tembo Cloud platform API to enable database operations and data manipulation for workflows and automated analysis. (node)
❌ hetzner-cloud: Integrates with Hetzner Cloud API to enable management of cloud infrastructure resources including servers, volumes, firewalls, and SSH keys for automated provisioning and infrastructure-as-code scenarios. (python)
❌ digitalocean: Integrates with DigitalOcean's API to enable automated server management, scaling, and infrastructure operations through natural language commands. (python)
✅ mcp-server-kubernetes: MCP server for managing Kubernetes clusters, enabling LLMs to interact with and control Kubernetes resources. (21 tools) (node)
❌ azure-function-apps: Enables testing of Azure Function Apps through a command-line interface supporting various HTTP methods, custom headers, and multiple authentication options. (node)
✅ @masonator/coolify-mcp: Integrates with Coolify to enable natural language management of servers, projects, applications, and databases through the Coolify API, allowing users to perform DevOps operations without leaving their conversation interface. (5 tools) (node)
❌ ops-unikernel-platform: Integrates with the Ops unikernel platform to manage lightweight virtual machine instances, create new instances from images, and deploy packages directly into running unikernels for on-premises infrastructure automation. (go)
❌ @gannonh/firebase-mcp: Enables Firebase Authentication, Firestore, and Storage operations for developers building applications that require seamless backend service integration. (node)
❌ runpod: Enables programmatic control of RunPod cloud GPU resources and serverless deployments through a TypeScript interface to the RunPod REST API. (node)
❌ pipecd: Connects Claude to PipeCD's continuous delivery platform, enabling monitoring of Kubernetes application deployments, configurations, and status without leaving the conversation context. (go)
❌ @boomlinkai/image-worker-mcp: Provides image processing and cloud storage capabilities through Sharp.js for resizing, transforming, and applying effects to images with seamless uploading to AWS S3, Cloudflare R2, or Google Cloud Storage. (node)
❌ cloudflare-workers-(via-bindings): Integrates tools for managing resources in the Cloudflare Workers Platform. (node)
❌ kubesphere: Integrates with KubeSphere APIs to enable management of Kubernetes clusters, workspaces, users, and extensions through natural language commands without navigating the web console. (go)
❌ podman-mcp-server: Integrates with Podman's API to enable container creation, management, and orchestration for automated DevOps workflows and microservices architecture deployment. (node)
❌ awslabs.cdk-mcp-server: Integration for AWS Cloud Development Kit (CDK) best practices, infrastructure as code patterns, and security compliance with CDK Nag. (python)

Code Execution

Run code securely, perfect for coding agents and AI-driven programming tasks.

❌ pyodide-integration: Integrates Pyodide to enable Python execution in JavaScript environments. (node)
❌ dafny-verifier: Integrates with Dafny to verify code correctness through analysis of formal specifications and proofs. (python)
✅ node-code-sandbox-mcp: Provides a secure Docker-based environment for executing Node.js code with npm dependencies, shell commands, and file operations while maintaining proper isolation for testing and web development prototyping. (7 tools) (node)
❌ e2b-(python): Execute code securely in cloud sandboxes. (node)
❌ prolog: Bridges AI systems with Prolog's logical programming capabilities through tools for executing programs, running time-limited queries, and exploring available predicates. (go)
❌ @pydantic/mcp-run-python: Provides a browser-compatible Python execution environment with package management capabilities for running code snippets safely without requiring a backend Python installation. (node)
❌ babashka: Integrates with Babashka to enable dynamic Clojure code execution and interaction for scripting, data processing, and system automation tasks. (node)
❌ web-and-python-sandbox: Provides web content access and Python code execution in a sandboxed environment, enabling information verification and working code demonstrations through containerized tools with appropriate security constraints. (python)
❌ matlab: Integrates with MATLAB to execute code, generate scripts from natural language, and access documentation, enabling complex mathematical operations and data analysis using MATLAB's toolsets. (node)
❌ mcp-python: Provides a persistent Python execution environment for interactive code development, data analysis, and rapid prototyping. (python)
❌ basilisp-nrepl: Bridges Anthropic's Model Control Protocol with Basilisp's nREPL server, enabling direct execution of Basilisp code, documentation retrieval, namespace exploration, and Python interoperability. (python)
❌ python-local: Provides an interactive Python REPL environment for executing code within conversations, maintaining separate state for each session and supporting both expressions and statements. (python)
❌ conda-executor: Executes Python code within isolated Conda environments, enabling secure and flexible code generation and execution for tasks like data analysis and algorithm testing. (node)
❌ jupyter-notebook-bridge: Provides a bridge between Jupyter notebooks and AI systems, enabling code execution, markdown creation, and Earth data interaction through specialized tools and kernel manipulation. (python)
✅ mcp-llm: Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks (4 tools) (node)
❌ container-sandbox: Provides a secure, sandboxed environment for executing code, running commands, accessing files, and performing web operations through multi-layered isolation including containers, AppArmor, and Firejail. (python)
✅ nrepl-mcp-server: Integrates with Clojure nREPL instances to enable code evaluation, namespace listing, and public var inspection for AI-assisted Clojure development. (3 tools) (node)
❌ node.js-code-sandbox: Executes Node.js code in isolated Docker containers with automatic dependency management, file system persistence, and resource monitoring for safe code experimentation and testing. (node)
❌ glyph: Extracts code symbols from multiple programming languages using tree-sitter parsing to generate structured outlines with functions, classes, variables, and hierarchical relationships at configurable detail levels. (go)
❌ docker-executor: Provides a secure Docker-based environment for executing code in isolated containers, enabling safe running of commands and scripts in any language with robust error handling and resource management. (python)
❌ code-indexer: Indexes and retrieves code snippets using embedding models and vector databases, enabling efficient code search and analysis for software development tasks. (python)
❌ node-code-sandbox: Provides a secure Docker-based sandbox for executing JavaScript code with npm dependencies, offering both persistent and ephemeral containers with strict resource limits for safe code testing and demonstration. (node)
❌ python-run: Provides a RESTful API for remote execution of Python code snippets. (python)
❌ code-runner: Executes Python and JavaScript/TypeScript code snippets in isolated environments, enabling developers to test, prototype, and demonstrate programming concepts directly within conversations. (node)
❌ e2b-(ts): Execute code securely in cloud sandboxes. (node)
❌ sympy-calculator: Provides symbolic mathematics capabilities through a Python-based server that leverages SymPy for complex calculations, equation solving, and mathematical manipulation. (python)
✅ gemini-mcp-tool: Integrates with Google's Gemini CLI to leverage massive token windows for analyzing large files and codebases, providing general queries, sandbox-mode code execution for safe testing, and structured response handling with behavioral flags for context control. (4 tools) (node)
❌ python-sandbox: Provides a secure sandbox environment for executing Python code within isolated Docker containers, enabling safe code testing with resource limits, package installation, and file operations through a RESTful API. (python)
❌ coderag: Parses TypeScript, JavaScript, Java, and Python codebases into a Neo4J graph database to extract code entities, relationships, and metadata, enabling software quality analysis through 18 metrics tools and guided exploration of dependencies, inheritance patterns, and architectural issues. (node)
❌ livecode.ch: Executes code snippets from GitHub repositories on io.livecode.ch's backend, enabling live code execution across various languages and frameworks without local setup. (python)
✅ @riza-io/riza-mcp: Provides a secure bridge between LLMs and Riza's isolated code interpreter API, enabling writing, saving, editing, and executing code safely in a sandboxed environment with persistent tool management across conversations. (6 tools) (node)
❌ tox-testing: Executes tox commands to run tests within a project using the project's tox.ini (node)
❌ gru-sandbox: Secure, self-hostable sandbox for running Python, TypeScript, and Bash code in isolated Docker containers with automatic resource management for local command execution. (go)
✅ mcp-server-code-runner: Executes code snippets in over 30 programming languages by creating temporary files and running them with appropriate interpreters, enabling direct testing and demonstration within conversations. (1 tools) (node)
❌ mcp-server-make: Integrates with make to enable execution of Makefile targets, automating build processes and development tasks for software projects. (python)
❌ safe-local-python-executor: Wraps LocalPythonExecutor from HuggingFace's smolagents framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while providing safeguards and limiting operations/imports that are allowed inside the runtime. (python)
❌ docker-sandbox: Creates isolated Docker environments for executing code in multiple languages, with persistent containers and Dockerfile generation for reproducible setups. (python)
❌ sandbox-container: Provides a secure, sandboxed environment for executing Python, Node.js, and shell commands in ephemeral containers with file management capabilities for code testing, visualization, and data analysis. (node)
❌ nostr-code-snippets: Enables AI to fetch and retrieve code snippets from the decentralized Nostr protocol network for accessing community-shared programming solutions. (node)
❌ daytona-python-interpreter: Integrates with Daytona's secure Python execution environment to enable isolated code running and workspace management for testing and educational purposes. (python)
❌ @yepcode/mcp-server: Enables secure execution of LLM-generated scripts and processes in isolated environments with environment variable management for teams needing to run code directly from AI assistants. (node)
❌ ai-meta-tool-creator: Enables AI to dynamically create, execute, and manage custom tools in a secure sandbox environment for JavaScript, Python, or shell code with persistent storage capabilities. (node)
❌ quickjs-sandbox: Provides a secure JavaScript execution environment using QuickJS in WebAssembly, enabling safe execution of arbitrary JavaScript code without security risks. (node)
❌ forevervm-mcp: Enable long-running Python REPL execution on a remote machine (node)
❌ isolator: Provides secure code execution for Python, Go, and JavaScript through Docker containerization with network isolation, read-only filesystems, and resource limits for safely running user-provided code in sandboxed environments. (go)
❌ jupyter_mcp_server: Integrates Jupyter notebooks with MCP to enable code execution, content manipulation, and interactive data exploration within notebook environments. (python)
❌ deno-code-executor: Executes TypeScript and JavaScript code in isolated Deno processes with configurable permissions for secure sandboxed code testing, educational programming assistance, and automated script execution. (node)
❌ judge0-code-execution: Enables remote code execution in multiple programming languages through Judge0's API, allowing for testing, validation, and demonstration without local development environments. (node)
❌ python-repl: Provides a Python REPL server for executing code and shell commands, enabling complex data analysis and system administration tasks. (python)
✅ js-sandbox-mcp-server: Provides a secure JavaScript sandbox for executing code with configurable time and memory limits, enabling safe testing and evaluation of algorithms. (1 tools) (node)
❌ mcp-python-interpreter: Provides a secure Python execution environment with isolated working directories, enabling code execution, file operations, and package management for development, data analysis, and educational tasks. (python)
❌ docker-code-sandbox: Provides a secure Docker-based sandbox for executing Python code with resource limits and proper isolation, enabling safe execution of untrusted code for data analysis and algorithm testing. (python)
❌ code-sandbox: Provides secure, isolated Python code execution environments with modular architecture for running untrusted code, testing solutions, generating visualizations, and performing file operations through multiple backend options including E2B and Firecracker microVMs. (python)

Coding Agents

AI tools that can autonomously read, write, and execute code to solve programming tasks.

❌ dafny-verifier: Integrates with Dafny to verify code correctness through analysis of formal specifications and proofs. (python)
❌ serena: Provides intelligent code analysis and manipulation across multiple programming languages through language server protocols, enabling developers to explore, understand, and refactor complex codebases. (python)
❌ pattern-language: Provides structured coding instructions and testing guidelines by dynamically combining general programming principles with language-specific rules through a tool-based interface that processes markdown instruction files into executable patterns. (node)
❌ codechecker: Integrates with Cursor IDE to provide real-time code review capabilities, leveraging GPT models for intelligent analysis and specific improvement suggestions. (python)
❌ reviewer-mcp: An MCP service that provides AI-powered development workflow tools including specification generation, code review, and project management with support for both OpenAI and Ollama models. (node)
❌ code-merge: Enables code analysis and merging from multiple files in a project with efficient handling of file trees, content compression, and filtering through .gitignore rules for comprehensive codebase context. (node)
❌ codebase-retrieval-(repomix): Integrates with RepoMix to enable codebase retrieval and analysis for tasks like code review, dependency tracking, and automated documentation generation. (node)
✅ mcp-neovim-server: Integrates Claude Desktop with Neovim, enabling AI-enhanced coding assistance within the familiar Vim environment through direct interaction with buffers and commands. (19 tools) (node)
❌ systemprompt-coding-agent: An MCP server that orchestrates AI coding assistants (Claude Code CLI and Gemini CLI) to perform complex programming tasks autonomously, allowing remote control of your local development environment from anywhere. (node)
❌ deepseek-mcp-server: Integrates DeepSeek's language models, enabling AI-powered chat completions with customizable parameters for tasks like writing assistance and code generation. (node)
❌ mcp-server-code-assist: Enables code modification and generation tasks through file operations, search-and-replace, and version control integration for automated refactoring and codebase maintenance. (python)
❌ second-opinion-(code-assistant): Synthesizes insights from multiple AI sources to provide enhanced coding assistance with automatic language detection and git-aware context gathering. (node)
❌ uithub-mcp: Enables Claude to fetch and analyze GitHub repositories with flexible filtering options for code exploration and development assistance tasks. (node)
❌ @jetbrains/mcp-proxy: Interact with JetBrains IDEs for code analysis and development tasks. (node)
❌ claude-code-review-mcp: Provides a server for obtaining structured and freeform code reviews from OpenAI, Google, and Anthropic models with support for project context, related files, and language detection. (node)
❌ claude-code: Enables Claude to execute code-related tasks through direct tools for code understanding, modification, command execution, and file operations with proper security controls. (python)
❌ coding-project-structure: Provides a single interface for retrieving entire project structures, enabling efficient code analysis and manipulation tasks. (node)
❌ langgraph-coding-team: Create coding agents to generate implementation options. (python)
❌ basilisp-nrepl: Bridges Anthropic's Model Control Protocol with Basilisp's nREPL server, enabling direct execution of Basilisp code, documentation retrieval, namespace exploration, and Python interoperability. (python)
❌ sage-(gemini-2.5-pro): Provides tools for sending prompts to Gemini 2.5 Pro with full file context, enabling second opinions and expert code reviews with gitignore-aware directory traversal. (node)
❌ bmad-agent-fastmcp-service: A professional AI agent system that provides 10+ specialized agents and 25+ MCP tools to support development workflows in Cursor IDE, with dual LLM mode support (built-in and DeepSeek API). (python)
❌ typescript-mcp: Provides TypeScript/JavaScript code analysis and refactoring capabilities using ts-morph, enabling intelligent code transformations with symbol renaming, file moving with import path corrections, cross-file reference updates, type signature analysis, and module dependency exploration across entire codebases. (node)
❌ coder-toolbox: Integrates Java code analysis, manipulation, and testing tools for efficient software development workflows and automated code operations. (node)
❌ aider: Enables file editing, creation, code extraction, and git operations directly within conversations through tools like edit_files, create_files, and git_status. (python)
❌ gopls: Bridges the Go Programming Language Server (gopls) with AI systems, enabling advanced code analysis, navigation, completion, and diagnostic capabilities for Go projects. (go)
❌ compiler-explorer-mcp: Connects to Compiler Explorer API for listing programming languages, retrieving available compilers, and compiling source code with customizable options, enabling developers to compare compiler behaviors and explore language features without context switching. (python)
❌ gemini-cli-orchestrator-mcp: A lightweight MCP server that enables AI agents to perform deep codebase analysis by leveraging Gemini's massive context window for cross-file analysis and intelligent file selection. (node)
❌ consulting-agents: Enables Claude Code to consult with multiple expert coding agents powered by OpenAI's o3-mini and Claude 3.7 Sonnet for enhanced problem analysis and diverse model perspectives (python)
❌ coding-assistant: Enhances coding capabilities by providing context-aware suggestions and documentation integration through code analysis, technology detection, and intelligent completion. (node)
❌ codealive: Provides a bridge to CodeAlive's platform for semantic code search, repository exploration, and context-aware chat completions that leverage deep understanding of entire codebases including documentation and dependencies. (python)
❌ code-explainer: Integrates with Cloudflare Workers to provide code explanation services, including architecture diagram generation, core functionality identification, and component breakdown across multiple programming languages. (node)
❌ ultimatecoder: FastMCP server that enables comprehensive file system operations, code modifications, process management, and static analysis for automated code maintenance and refactoring tasks. (python)
✅ mcp-coco: MCP-Coco provides a pair programming tool that guides technical discussions by transforming code snippets into structured frameworks for critical inquiry about performance, security, and maintainability. (1 tools) (node)
❌ mistral-codestral: Integrates with Mistral's code-related APIs to enable code completion, bug fixing, and test generation across multiple programming languages. (node)
❌ deep-code-reasoning: Enables intelligent routing between Claude and Google's Gemini AI for complementary code analysis, leveraging Gemini's 1M token context window for large codebase analysis while Claude handles local operations, with conversational AI-to-AI dialogue capabilities for multi-turn problem-solving sessions. (node)
❌ systemprompt-code-orchestrator: Orchestrates Claude Code CLI and Gemini CLI sessions to perform complex coding tasks through unified task management, agent coordination, and progress tracking with persistent state storage. (node)
❌ deebo-setup: Autonomous debugging system that works alongside AI coding agents. (node)
❌ gemini-code-analysis-(openrouter): Provides codebase analysis through OpenRouter's API integration, offering code quality assessment, security vulnerability scanning with OWASP Top 10 mapping and CVE database integration, performance profiling, and automated fix suggestions for JavaScript/TypeScript projects. (node)
❌ hide-(headless-ide): Integrates Hide's capabilities to enable agentic work on code in a headless environment. (python)
❌ nuanced: Provides code analysis capabilities using the nuanced library, offering tools for initializing code graphs, exploring function call relationships, analyzing dependencies, and assessing the impact of code changes. (python)
❌ perplexity-ai: Integrates with Perplexity AI to provide coding assistance and maintain persistent conversations through ask_perplexity for technical solutions and chat_perplexity for context-aware interactions with SQLite-backed history. (python)
❌ code-review: Enables automated code reviews through multiple LLM providers by analyzing repository structures and evaluating code for security, performance, quality, and maintainability with structured output containing issues, strengths, and recommendations. (node)
❌ python-code-analyzer: Analyzes Python code structure, complexity, and dependencies using parsing tools to provide insights for automated quality checks and code reviews. (python)
❌ strands-agents: Server that enables execution of Strands agents through a plugin architecture, automatically discovering and registering plugins for seamless integration with existing workflows. (python)
❌ typescript-refactoring: Enables AI to perform complex TypeScript/JavaScript refactoring operations like renaming symbols, moving code between files, and updating import paths through ts-morph's powerful code transformation capabilities. (node)
❌ deepview-mcp: Enables AI-powered code analysis by loading entire codebases into Gemini's large context window, allowing developers to query and understand complex repositories through natural language interactions. (python)
❌ code-analysis: Integrates code analysis with scraping capabilities to enable code review, static analysis, and automated refactoring suggestions for development teams. (python)
❌ aider-multi-coder: Provides a bridge between Aider pair programming tool and AI models, enabling parallel execution of multiple coding tasks with configurable file access permissions and comprehensive error handling. (python)
❌ codesavant-coding-assistant: Provides a robust code management and execution interface for reading, writing, versioning, and running code across multiple projects and languages. (python)
❌ @jinzcdev/leetcode-mcp-server: Connects to LeetCode's programming platform for accessing problem descriptions, searching by tags and difficulty, retrieving user profiles, and viewing community solutions to enhance algorithm learning and contest preparation. (node)
❌ autogen: Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent conversations for complex problem-solving tasks. (python)
❌ python-code-explorer: Builds a graph of Python code relationships to intelligently navigate codebases, prioritize relevant sections, and include README files while staying within token limits. (python)
❌ coding-file-context: Provides advanced file system access and code analysis capabilities, enabling efficient reading, searching, and analysis of large codebases for automated quality assessment and intelligent navigation. (node)
❌ crewai-(near-intents): Leverages the CrewAI framework in combination with OpenAI API to orchestrate multi-agent workflows for automated research, data analysis, and problem-solving across domains. (node)
❌ coding-with-perplexity-ai: Integrates Perplexity AI to provide intelligent coding assistance for tasks like code analysis, generation, and problem-solving across various programming languages. (node)
❌ codeforces: Integrates with Codeforces competitive programming platform to retrieve contest information, user profiles, submission histories, and rating changes for performance analysis and contest preparation. (python)
❌ @kunihiros/claude-code-mcp: Use Claude Code with less capable LLMs. (node)
❌ global-mcp-server: A modular MCP server that extends GitHub Copilot's capabilities through intelligent context compression and dynamic model routing for long-lived coding sessions. (python)
❌ coding-feature-discussion: Integrates AI-powered lead developer interface with project context to guide teams through feature discussions, architectural decisions, and best practices. (node)
❌ code-context-(semantic-code-search): Enables semantic code search and understanding by cloning git repositories, splitting code into semantic chunks, and generating embeddings for natural language querying of large codebases (node)
✅ @steipete/claude-code-mcp: Provides a streamlined interface for executing complex coding tasks including file operations, Git commands, and web searches without permission interruptions by automatically bypassing constraints. (1 tools) (node)
❌ vibe-coder-(ai-assisted-development): Provides AI-assisted development tools for semantic routing, code generation, refactoring, and project management with intelligent request handling and specialized Git integration capabilities. (node)
❌ node-omnibus: Enables AI-assisted Node.js and TypeScript development optimized for popular frameworks, offering code generation, debugging, and project management capabilities. (node)
❌ claude-code-enhanced: Enables AI to execute code, manage files, run Git operations, and perform terminal commands through a robust task orchestration system with intelligent retry mechanisms and heartbeat monitoring. (node)
❌ code-analyzer: Integrates with open source projects to analyze codebases, detect patterns, and generate intelligent merge strategies for streamlined integration and refactoring. (node)
❌ openai-agents-sdk: Provides access to OpenAI Agents SDK documentation and GitHub repository through search tools, content retrieval, and code examples with performance-optimized caching for developers referencing functionality without context switching. (python)
❌ mcp-perplexity: Integrates with Perplexity API to provide expert programming assistance and persistent chat capabilities for developers and teams. (python)
❌ magi-code-review: Orchestrates code reviews through a distributed framework of three specialized agents (Melchior, Balthasar, and Casper) that evaluate submissions and deliver majority-rule verdicts on code quality. (python)
❌ kodit: Indexes local codebases and Git repositories using tree-sitter parsing and semantic embeddings to enable hybrid search combining vector similarity with keyword matching for contextual code retrieval. (python)
❌ a2amcp-sdk: Coordinates multiple AI agents working on shared codebases through Redis-backed infrastructure that provides real-time messaging, file locking to prevent simultaneous edits, interface sharing for type definitions, and distributed task management across parallel development sessions. (python)
❌ vibecodermcp: Guides LLMs through structured software development workflows with feature clarification, PRD generation, and phase-based tracking using a hybrid document storage system. (node)
❌ code-expert-review: Provides expert-level code review through simulated personas like Martin Fowler and Uncle Bob, offering refactoring suggestions and clean code recommendations based on established software engineering principles. (python)
❌ vs-code: Exposes VS Code's filesystem, editing capabilities, symbol search, diagnostics, and terminal access as tools for AI-assisted coding tasks directly within your existing VS Code environment. (node)
❌ kontxt: Provides AI-driven codebase analysis by connecting to local repositories and using Gemini 2.0 Flash's 1M input window to generate context based on user queries without manual indexing. (python)

Command Line

Run shell commands and interact with command-line tools easily.

❌ apple-native-apps: Enables native macOS integration with Apple applications like Contacts, Notes, Messages, Mail, Reminders, Calendar, and Maps through JXA and AppleScript for performing tasks without leaving conversation context. (node)
❌ terminal-command-executor: Provides secure command-line access for executing shell commands with TypeScript validation, returning structured output and error streams through a lightweight stdio-based server. (node)
❌ pkgx: Provides secure access to thousands of open-source command-line tools through pkgx, executing commands in a sandboxed environment that prevents unauthorized filesystem modifications. (node)
❌ scrapli-network-automation: Integrates the Scrapli network automation library to enable SSH command execution on Cisco IOS XE devices for network configuration and troubleshooting tasks (python)
❌ kubernetes-eye: Kubernetes management tool that connects to clusters to list, analyze, and manipulate pods, execute container commands, and retrieve logs directly through conversation interfaces. (go)
❌ macos-system: Access macOS system information and send notifications. (node)
❌ terminal-shell: Enables AI to execute shell commands in containerized environments through a lightweight server with configurable authentication and SSE transport for seamless terminal interaction. (python)
❌ shell-command: Provides a secure Docker container environment for executing shell commands with Kubernetes tools, enabling isolated DevOps workflows and infrastructure management tasks. (node)
❌ claude-c2: Command and control framework that enables secure remote system administration through a Python server and PowerShell client, maintaining task tracking in SQLite for efficient execution and reporting. (python)
❌ terminal-session: Provides stateful, TUI-compatible terminal sessions for executing commands and running interactive applications, enabling persistent interaction with command-line interfaces and programs. (go)
❌ ssh-tools: Provides a secure SSH interface for connecting to remote servers, executing commands, and maintaining persistent sessions throughout conversations for system administration and server management tasks. (python)
❌ macos-notification-mcp: Enables macOS system notifications, banner alerts, and text-to-speech capabilities with customizable parameters like voice selection and speech rate. (python)
❌ local-utilities: Provides access to system utilities for retrieving local information including time, hostname, IP address, directory listings, Node.js version, and port process checks (node)
✅ @steipete/macos-automator-mcp: Automates macOS tasks through AppleScript and JavaScript for Automation with a rich library of pre-defined scripts for application control, file operations, and system interactions. (2 tools) (node)
❌ mcp-server-shell: Enables secure execution of shell commands on host systems for tasks like system diagnostics, file manipulation, and automation. (python)
❌ play-sound-mcp-server: An MCP server that plays local sound files on macOS using the afplay command, allowing AI assistants to trigger audio notifications after responding. (node)
❌ script-tool: Provides a secure, cross-platform command line script execution tool with built-in protections like timeout handling, output capture, and environment validation for safe remote script running across different operating systems. (go)
✅ iterm-mcp: Enables direct execution of shell commands in the active iTerm tab, streamlining terminal-based workflows and automation tasks. (3 tools) (node)
❌ super-windows-cli: Provides unrestricted Windows system access and command execution across multiple shells for remote administration and complex task automation. (node)
❌ networkmanager-(nmstate): Integrates with Linux NetworkManager through libnmstate library to query current network interface configurations and apply declarative YAML-based network state changes for system administration and troubleshooting. (python)
❌ tmux-mcp: Interact with and view tmux session content. (node)
❌ system-information-mcp-server: Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes. (python)
❌ apple-automation: Provides a lightweight macOS application control server for managing Spotify playback and iTerm interactions using AppleScript-based system commands. (node)
✅ super-shell-mcp: Enables secure execution of shell commands across Windows, macOS, and Linux with a three-tier whitelist security model for controlled system access. (9 tools) (node)
❌ run-shell-command: Enables direct execution of shell commands from chat interfaces, creating a bridge between natural language prompts and local system operations for quick developer workflows. (node)
❌ gemini-cli: Integrates with Google's Gemini CLI tool to enable conversational interactions, content generation with configurable temperature settings, and model discovery through command-line interface calls. (node)
✅ @peakmojo/applescript-mcp: Enables AI to execute AppleScript code on macOS systems, providing access to applications and system features like Notes, Calendar, Contacts, Messages, and Finder through a lightweight server implementation. (1 tools) (node)
❌ mcp-shell-server: Execute whitelisted shell commands on the host system via asyncio. (python)
❌ mcp-server-macos-defaults: Enables interaction with macOS system preferences via the 'defaults' command for querying and modifying configurations. (python)
❌ wcgw: Access shell and filesystem in order to automate tasks and run code (python)
❌ macos-say: Leverages macOS 'say' command for customizable text-to-speech functionality, enabling dynamic voice output. (node)
✅ @dhravya/apple-mcp: Integrates with Apple's native applications to enable searching contacts, managing notes, and sending messages within the macOS ecosystem. (8 tools) (node)
✅ @kevinwatt/shell-mcp: Provides a shell command execution interface for secure and controlled access to local system operations, enabling automation tasks and system management. (20 tools) (node)
❌ mcpshell: Provides a secure bridge between language models and operating system commands through a configurable YAML interface with constraint-based security, multiple sandboxing options, and robust error handling. (go)
❌ tmux: Enables terminal session management through tmux with tools for creating sessions, sending commands and keystrokes, capturing screen content, and managing session lifecycles for system administration, development workflows, and terminal-based application interactions. (go)
❌ remote-command: Enables direct execution of shell commands on the host machine with cross-platform compatibility, automatically handling OS-specific differences for system administration, development, and automation tasks. (node)
✅ perm-shell-mcp: Enables secure execution of shell commands through desktop notifications that require explicit user approval for each operation, maintaining strong security boundaries for local system access. (2 tools) (node)
❌ apple-macos-native-applications: Enables AI interaction with macOS native applications through AppleScript for tasks like managing contacts, notes, emails, reminders, calendar events, and maps navigation (python)
❌ terminal-task-tracker: Terminal-based task management system that enables creating, updating, and organizing tasks by priority and status while developing structured project plans with ordered steps. (python)
❌ iterm-terminal: Provides AI models with direct access to iTerm terminal sessions for reading output, writing commands, and sending control characters, enabling efficient troubleshooting and task delegation in interactive terminal environments. (node)
✅ mcp-shell: Secure shell command execution server for AI models to interact with local systems while maintaining strict security controls. (1 tools) (node)
✅ iterm_mcp_server: Enables AI interaction with iTerm2 terminals on macOS through AppleScript and Node.js, allowing command execution, output capture, and terminal management without context switching. (5 tools) (node)
❌ macos-clipboard: Integrates with the MacOS clipboard to enable reading and writing of system clipboard content for text processing and data transfer tasks. (node)
❌ macos-notify-mcp: Provides native macOS notifications with intelligent tmux session integration that automatically detects terminal environments and enables click-to-navigate functionality for returning to specific tmux sessions, windows, and panes. (node)
❌ windows-terminal: Enables interaction with the Windows command line interface, allowing for writing commands, reading terminal output, and sending control characters for automation tasks and integrations. (node)
❌ @landicefu/android-adb-mcp-server: Provides a bridge to Android devices through ADB, enabling device management, shell command execution, app installation, screenshot capture, and file transfer across connected Android devices. (node)
❌ windows-desktop-control: Enables AI to control Windows desktop applications through UIAutomation and PyAutoGUI, providing capabilities for launching programs, executing commands, and performing mouse/keyboard actions with tree-based UI element identification. (python)
✅ mcp-server-siri-shortcuts: Integrates with macOS Shortcuts to dynamically expose and execute user-defined automation workflows through generated tools. (3 tools) (node)
❌ macos-gui-control: Enables AI assistants to control macOS applications by capturing screenshots, identifying UI elements, and automating mouse and keyboard actions through the macOS accessibility framework. (python)
❌ everything-local-commands: Provides system-level operations for file handling, information retrieval, HTTP requests, and command execution, enabling versatile system management and task automation. (node)
❌ secure-shell-executor: Provides a secure way to execute shell commands with robust validation, whitelisting, and timeout handling through an asyncio-powered Python implementation. (python)
❌ windows-remote-control: Enables remote automation of Windows systems for controlling mouse, keyboard, and screen capture via nut.js. (node)
✅ mcp-server-commands: Execute system commands and scripts on the host machine. (1 tools) (node)
✅ @simonb97/server-win-cli: Control Windows command-line interfaces securely. (9 tools) (node)
✅ shell-command-mcp: Secure shell command execution server that allows running system commands in a controlled environment through an allowlist system, returning results in YAML format. (1 tools) (node)
❌ local-repository-bridge: Provides a bridge between Claude and local repositories, enabling direct code analysis, bug fixes, and feature development through specialized tools for generating prompts, executing terminal commands, and locating repositories by keyword. (node)
❌ console-terminal: Provides a bridge between AI assistants and system terminals, enabling command execution and output retrieval through an Electron-based application (node)
✅ mcp-cli-exec: Provides powerful CLI command execution capabilities, enabling structured output for shell commands with features like timeout handling, ANSI code stripping, and error management for system administration and DevOps workflows. (2 tools) (node)
❌ mac-volume-controller: Enables macOS volume control via osascript, providing mute and unmute functionality for system audio management. (node)
❌ npm-command-runner: Execute npm and npx commands. (node)
❌ command-executor: Enables secure execution of pre-approved system commands for automation tasks, system management, and controlled access to host resources. (node)
❌ cli-executor: Provides a tool for executing local CLI commands asynchronously using FastMCP and asyncio, handling command arguments securely and offering error handling for failed commands. (python)
❌ ssh: Provides secure remote access capabilities for executing commands, transferring files, and managing connections on remote systems via SSH. (node)
✅ @steipete/peekaboo-mcp: Enables macOS screen capture and window management with tools for taking screenshots, analyzing images, and controlling application windows (3 tools) (node)
❌ terminal-log-manager: Retrieves and manages terminal logs from a specified directory, offering functionality to read recent entries and clear log contents for efficient monitoring and debugging. (node)
❌ shell-mcp-server: Integrates with the local shell environment to enable execution of system commands, file operations, and retrieval of system information for task automation and system management. (python)
❌ unix-manual: Provides Unix command documentation, including help pages, man pages, and usage information, enabling retrieval and exploration of system commands within conversations. (python)
❌ mcp-kubernetes-server: Enables direct Kubernetes cluster management through kubectl command execution, providing a bridge for real-time resource administration within conversations. (python)
✅ server-cmd: Cross-platform MCP server for executing command-line operations and SSH connections on Windows and Linux systems through a standardized interface. (2 tools) (node)
❌ homebrew: Exposes Homebrew package management commands as individual tools for installing, uninstalling, searching, upgrading, and maintaining macOS development environments through direct brew command execution. (python)
❌ mac-shell: Enables secure execution of macOS terminal commands through a ZSH shell with a whitelist system that categorizes operations as safe, requiring approval, or forbidden. (node)
❌ curl: Make HTTP requests to any URL using curl-like interface. (node)
❌ mcp-grep: Exposes the system grep binary's functionality for searching files with regular expressions, supporting common options like case-insensitive matching, context lines, and recursive directory searching. (python)
❌ my-mac: Provides AI with real-time Mac system information through a lightweight local server that safely executes verified commands for hardware specs, configuration, and resource usage data. (python)
❌ cli-(desktop-commander): Integrates terminal and filesystem capabilities for executing system commands, managing processes, and performing advanced file operations on the local system. (node)
❌ terminal-control: Provides a cross-platform terminal control server that executes shell commands and retrieves terminal information, with specialized support for macOS environments including AppleScript and iTerm2 integration. (python)
✅ mcp-wsl-exec: Provides secure command execution in WSL with built-in safety features like path validation, timeouts, and error handling. (2 tools) (node)
❌ @vilasone/ssh-mcp-server: Enables secure remote command execution across Linux and Windows systems through SSH connections with configurable authentication methods, safety restrictions, and multi-machine management for system administration and infrastructure monitoring tasks. (node)
❌ terminal: Enables AI systems to execute terminal commands in local or remote environments through a TypeScript-based server supporting both standard I/O and SSE communication modes. (node)
❌ pty-terminal: Provides a stateful terminal interface for maintaining session context and executing complex, multi-step operations across multiple interactions. (python)
❌ mcp-host-cli: Command-line tool for creating and managing MCP hosts with streamlined setup for developers integrating AI capabilities into applications. (node)
❌ hyprland: Provides direct control over Hyprland window manager functionality, enabling natural language commands for managing monitors, workspaces, windows, and configuration settings without leaving conversation context. (python)
❌ dkmaker-mcp-rest-api: Integrates with REST API's via Axios to provide a command-line tool for testing and debugging REST APIs with customizable requests and response analysis. (node)
❌ jarvis: Go-based system administration server that provides secure filesystem operations, terminal command execution, web content fetching, and multi-file editing with configurable security controls including directory restrictions, command blocking, and backup mechanisms. (go)
❌ @joshuarileydev/mac-apps-launcher-mcp-server: Launch and control macOS applications. (node)
❌ vm-terminal: Provides a secure web-based terminal interface for remote VM command execution through WebSocket connections and automatic tunnel creation, eliminating the need for direct SSH access. (node)
❌ mcp-windows: Enables AI to control Windows system functions including media playback, notifications, window management, screenshots, monitor control, theme changes, clipboard access, and file operations. (python)
❌ mcp-command-proxy: Proxy server for CLI commands that captures terminal output in a circular buffer, enabling remote execution, log retrieval, and process management for command-line applications like Expo development tools. (node)
❌ systemctl: Bridges Claude with systemd services, enabling direct management of system services through a FastMCP server that communicates using Server-Sent Events. (python)
❌ llmbasedos: Secure Arch Linux gateway that bridges LLMs with local system capabilities through specialized servers for file system, email, sync, and agent operations without exposing sensitive information (python)
❌ apple-reminders: Integrates with Apple's Reminders app to create, read, and manage tasks with specified parameters like titles, notes, due dates, and priority levels (python)
❌ ssh-commander: Enables secure remote server management by executing SSH commands using stored credentials in a SQLite database, providing tools for command execution and credential management without leaving the conversation interface. (node)
❌ command-line: Safely run command-line arguments for Unix/macOS systems. (python)
❌ cua-mcp-server: Enables LLMs to run Computer-Use Agent (CUA) workflows on Apple Silicon macOS. (python)
❌ lilith-shell: Enables secure execution of terminal commands with configurable working directories and timeout protection, capturing stdout, stderr, and exit codes for system operations and development tools. (python)
❌ android-automation: Provides direct automation and control of Android devices through uiautomator2, enabling clicking, swiping, typing, and UI element inspection for mobile app testing and automation workflows. (python)
❌ server: Provides a simple text-to-speech interface for MacOS using the built-in 'say' command, enabling voice output for AI models. (python)
✅ @rinardnick/mcp-terminal: Provides a secure terminal server for executing whitelisted shell commands with strict resource controls and security boundaries. (1 tools) (node)
❌ apple-shortcuts-(macos): Control Apple Shortcuts automations on macOS. (node)
✅ os-info-mcp-server: Provides real-time system information about the host computer, including CPU, memory, operating system, disk, battery, and process details for monitoring resources and troubleshooting performance issues. (1 tools) (node)
❌ cli-mcp-server: Execute shell commands with strict security policies. (python)
❌ powershell-exec: Enables real-time execution of PowerShell scripts through a lightweight Python server, bridging AI tools with PowerShell functionality for data analysis, Windows task automation, and module interaction. (python)
❌ windows-command-line-mcp-server: This server creates a secure bridge between Claude and your computer's command-line functionality. (node)
❌ shell-command-runner: Enables AI systems to execute shell commands and scripts securely with proper output handling for system automation, file manipulation, and command-line tool integration. (node)
❌ terminal-controller: Enables secure terminal command execution, directory navigation, and file system operations across Windows and UNIX-based systems, with built-in security measures to prevent dangerous operations. (python)
❌ shell-command-executor: Provides a secure interface for executing controlled shell commands with comprehensive security features including allowlists, pattern-based blocking, timeouts, and output limits defined in YAML configuration. (go)
❌ applescript: Integrates AppleScript to enable natural language control of macOS applications and system functions. (node)
❌ perplexity-advanced-mcp: Command-line interface for interacting with Perplexity and OpenRouter APIs, supporting both simple queries and complex file attachments with easy provider switching through a containerized Docker implementation. (python)
✅ apple-notifier-mcp: Enables interaction with macOS notifications and system dialogs for desktop alerts, user input, and system operations. (5 tools) (node)
❌ llama3-terminal: Integrates with Ollama's Llama3 model to provide a terminal-based chat interface with persistent context management and YouTube search capabilities via Node.js and Socket.IO (node)
❌ shell-history: Powerful shell command history exploration tool that allows searching, retrieving, and programmatically accessing past shell commands across different environments like Bash and Zsh. (python)
❌ windows-desktop-automation: Enables Windows desktop automation through TypeScript-wrapped AutoIt functions for controlling mouse movements, keyboard input, window management, and UI elements via natural language instructions. (node)
✅ mcp-apple-calendars: Provides a TypeScript-based server for reading, creating, updating, and deleting macOS calendar events through a local HTTP bridge, enabling seamless scheduling and calendar management for desktop applications. (7 tools) (node)
❌ phone-mcp: Enables remote control of Android phones through ADB commands for making calls, sending texts, taking screenshots, managing contacts, launching apps, and retrieving system information. (python)
❌ mcp-server-ssh-rails-runner: Enables safe remote execution of Rails console commands via SSH for efficient data operations and administrative tasks on production Rails applications. (node)
✅ @devyhan/xcode-mcp: Provides Xcode-related command-line tools to enables project inspection, building, testing, archiving, code signing, and Xcode simulator management through natural language commands. (9 tools) (node)

Communication

Connect with messaging platforms to manage chats and interact with team tools.

❌ @yiyang.1i/sms-mcp-server: Enables Claude and other assistants to send SMS and MMS messages through Twilio's API with phone number validation and specialized prompts for greetings and haikus. (node)
❌ microsoft-teams: Integrates with Microsoft Teams to enable reading messages, creating threads, replying to messages, and mentioning team members through Azure bot credentials. (python)
❌ chatgpt-responses: Bridges Claude Desktop with ChatGPT API, enabling direct access to standard ChatGPT interactions and web search-enabled queries with conversation continuity through response IDs. (python)
❌ frontapp: Integrates Claude with Front customer communication platform, enabling AI to manage conversations, contacts, and accounts directly through the Front API with webhook support for real-time event handling. (node)
❌ notmuch-sendmail: Integrates Notmuch email management with sendmail functionality to enable email composition, searching, and sending capabilities. (python)
❌ webex-mcp-server: A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities. (node)
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@toolsdk.ai/registry

Awesome MCP Registry

Quick Start

Install via package manager:

Use it on your JavaScript / Typescript project:

Fetch all MCP Servers lists via cURL:

Submit new MCP servers:

MCP Servers

Uncategorized

Aggregators

Art & Culture

Browser Automation

Cloud Platforms

Code Execution

Coding Agents

Command Line

Communication

Readme

Keywords

Package Sidebar

Install

DownloadsWeekly Downloads

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License

Unpacked Size

Total Files

Last publish

Collaborators

Weekly Downloads