YouTube Data API
Integrates with YouTube Data API v3 to provide video search, channel statistics, trending content analysis, transcript extraction,
YouTube MCP server by Kiryl Bahdanau that provides AI assistants with efficient access to YouTube data through the YouTube Data API v3, featuring token-optimized responses and MongoDB caching for performance. Built with TypeScript and the Model Context Protocol SDK, it offers tools for video search, channel statistics, trending content analysis, transcript extraction with key segment filtering, and an advanced niche analysis system that identifies emerging channels with consistent high-performance content. The implementation includes API quota tracking, engagement ratio calculations, and a sophisticated multi-phase analysis pipeline for discovering promising YouTube channels within specific topics and timeframes. Designed for content creators, marketers, and researchers who need structured YouTube data analysis without manually navigating the complexities of the YouTube API.
Source
Repository: https://github.com/kirbah/mcp-youtube
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