YouTube MCP Server
Model Context Protocol server for YouTube video management, search, and analytics operations.
Problem Statement
AI applications needed a standardized way to interact with YouTube's platform through MCP, enabling video search, channel management, and analytics access.
Solution Approach
We created an MCP server that provides comprehensive YouTube functionality:
- Video search and retrieval
- Channel management
- Playlist operations
- Analytics and statistics
- Comment management
- Upload operations
Technologies Used
- Python 3.11+ - Core language
- FastAPI - MCP server framework
- YouTube Data API v3 - Official YouTube API
- MCP Protocol - Model Context Protocol
Key Achievements
- ✅ Full YouTube API integration
- ✅ Video search and filtering
- ✅ Channel and playlist management
- ✅ Analytics access
- ✅ Secure OAuth handling
Impact
Enables AI applications to:
- Search and retrieve videos
- Manage YouTube channels
- Analyze video performance
- Handle playlists
- Automate content operations
Lessons Learned
- YouTube API has complex quota management
- OAuth authentication requires careful flow handling
- Analytics data provides valuable insights
- Video operations benefit from caching