@dackerman-stainless/met-museum-demo-mcp

Met Museum TypeScript MCP Server

It is generated with Stainless.

Installation

Via Claude Desktop

See the user guide for setup.

Once it's set up, find your claude_desktop_config.json file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following value to your mcpServers section. Make sure to provide any necessary environment variables (like API keys) as well.

{
  "mcpServers": {
    "dackerman_stainless_met_museum_demo_api": {
      "command": "npx",
      "args": ["-y", "@dackerman-stainless/met-museum-demo-mcp"],
      "env": {
        "MET_MUSEUM_DEMO_API_KEY": "My API Key"
      }
    }
  }
}

Filtering tools

You can run the package on the command line to discover and filter the set of tools that are exposed by the MCP Server. This can be helpful for large APIs where including all endpoints at once is too much for your AI's context window.

You can filter by multiple aspects:

• --tool includes a specific tool by name
• --resource includes all tools under a specific resource, and can have wildcards, e.g. my.resource*
• --operation includes just read (get/list) or just write operations

See more information with --help:

$ npx -y @dackerman-stainless/met-museum-demo-mcp --help

All of these command-line options can be repeated, combined together, and have corresponding exclusion versions (e.g. --no-tool).

Use --list to see the list of available tools, or see below.

Available Tools

The following tools are available in this MCP server.

Resource objects:

• retrieve_objects (read): returns a record for an object, containing all open access data about that object, including its image (if the image is available under Open Access)
• list_objects (read): returns a listing of all valid Object IDs available to use

Resource departments:

• list_departments (read): returns a listing of all departments

Resource search:

• list_search (read): returns a listing of all Object IDs for objects that contain the search query within the object’s data