iflow-mcp_echelon-ai-labs-zoom-mcp

# Zoom MCP Server A Model Context Protocol (MCP) server implementation for Zoom, providing AI models with access to Zoom's API capabilities. ## Overview This project implements an MCP server that enables Claude to connect to Zoom, retrieve data, and perform actions through the Zoom API. It serves as a bridge between Claude and Zoom, allowing for seamless integration and access to Zoom meetings, users, and recordings. ## Features - Connect to Zoom using Server-to-Server OAuth 2.0 authentication - Retrieve user information and profiles - Access meeting details and recordings - Query Zoom account settings and configurations - Manage Zoom resources through a standardized API - Debug mode for troubleshooting API connections ## Installation ### Prerequisites - Python 3.11 or higher - A Zoom account with admin privileges - A Zoom Server-to-Server OAuth app with appropriate scopes - [uv](https://github.com/astral-sh/uv) for Python package management ### Setup 1. Clone the repository: ```bash git clone https://github.com/yourusername/zoom-mcp.git cd zoom-mcp ``` 2. Create a virtual environment and activate it using uv: ```bash uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate ``` 3. Install dependencies using uv: ```bash uv pip install -e . ``` 4. Set up Zoom API credentials: ```bash python scripts/setup_zoom_auth.py ``` This script will guide you through setting up your Zoom API credentials in a `.env` file: ``` ZOOM_API_KEY=your-client-id ZOOM_API_SECRET=your-client-secret ZOOM_ACCOUNT_ID=your-account-id ``` ## Usage ### Testing the Connection After setting up your credentials, you can test the connection to the Zoom API: ```bash python scripts/test_zoom_connection.py ``` This script will verify: - Your environment variables are set correctly - OAuth token generation works - Basic API access is successful ### API Endpoints The MCP server provides access to various Zoom AP…