YouTube Data API

Integrates with YouTube's Data API v3 and transcript extraction to provide video analysis, channel management, playlist operations, content discovery, engagement metrics calculation, trending video discovery by region, and automated transcript retrieval for content research and social media analysis workflows.

This MCP server provides AI assistants with direct access to YouTube's Data API v3 and transcript extraction capabilities, featuring 14 specialized tools for video analysis, channel management, playlist operations, and content discovery. Built with Python using FastMCP and httpx, it supports comprehensive video metadata retrieval, engagement analysis with calculated metrics like like rates and comment rates, trending video discovery by region, advanced search with multiple sorting options, and automatic transcript extraction using the youtube-transcript-api library. The implementation includes intelligent URL parsing for various YouTube formats, robust error handling with quota management, and engagement benchmarking against industry averages, making it valuable for content research workflows, social media analysis, educational content curation, and building AI assistants that need programmatic access to YouTube's full data ecosystem without manual platform navigation.