Genesys Cloud MCP Server

A Model Context Protocol (MCP) server for Genesys Cloud's Platform API.

Features

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

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

NPX

{
  "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>"
      }
    }
  }
}

Authentication

This currently only supports a stdio server. To configure authentication you'll need to:

1. Create an OAuth Client in Genesys Cloud
2. Assign the permissions to it for the tools you want to be used
3. Provide the following environment variables when referencing the server:
   • GENESYSCLOUD_REGION
   • GENESYSCLOUD_OAUTHCLIENT_ID
   • GENESYSCLOUD_OAUTHCLIENT_SECRET

Development

Getting Started

nvm use
npm install
npm run dev

Under active development

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.