A Model Context Protocol (MCP) server for Genesys Cloud's Platform API.
Tool | Description |
---|---|
Search Queues | Searches for queues by their name (supports wildcards) |
Query Queue Volumes | Retrieves conversation volumes and member count by Queue IDs |
Sample Conversations By Queue | Retrieves a representative sample of Conversation IDs for a Queue ID |
Voice Call Quality | Retrieves voice call quality metrics for one or more conversations by ID |
Conversation Sentiment | Retrieves the sentiment for one or more conversations by ID |
Conversation Topics | Retrieves the topics for a conversation by ID |
Search Voice Conversation | Searches voice conversations by optional criteria |
Conversation Transcript | Retrieves conversation transcript |
Add this to your claude_desktop_config.json
:
{
"mcpServers": {
"genesys-cloud": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@makingchatbots/genesys-cloud-mcp-server"],
"env": {
"GENESYSCLOUD_REGION": "<PUT REGION HERE>",
"GENESYSCLOUD_OAUTHCLIENT_ID": "<PUT OAUTHCLIENT ID HERE>",
"GENESYSCLOUD_OAUTHCLIENT_SECRET": "<PUT OAUTHCLIENT SECRET HERE>"
}
}
}
}
This currently only supports a stdio server. To configure authentication you'll need to:
- Create an OAuth Client in Genesys Cloud
- Assign the permissions to it for the tools you want to be used
- Provide the following environment variables when referencing the server:
GENESYSCLOUD_REGION
GENESYSCLOUD_OAUTHCLIENT_ID
GENESYSCLOUD_OAUTHCLIENT_SECRET
nvm use
npm install
npm run dev
This is part of personal project to create a conversational Business Insights tool. It is a practical way for me to learn MCP servers, and how best to represent Genesys Cloud's Platform APIs in a way that can be easily consumed by LLMs.
There will be a lot of changes, and I will be sure to share my learnings in my newsletter.