What is Token Optimized Youtube Data and Transcript?
Token Optimized Youtube Data and Transcript is a production-grade MCP server designed for AI agents to interact with YouTube data efficiently. It strips redundant payload from YouTube API responses to save context window tokens and includes optional MongoDB caching to protect API quotas. It supports zero-config mode for transcript fetching without an API key, and full video search, channel analytics, trending, and comment retrieval with a YouTube Data API v3 key.
How to use Token Optimized Youtube Data and Transcript?
Install via npx with npx -y @kirbah/mcp-youtube in your MCP client configuration. For full features, set the YOUTUBE_API_KEY environment variable and optionally MDB_MCP_CONNECTION_STRING for caching. The server provides tools like getVideoDetails, searchVideos, getTranscripts, getChannelStatistics, getTrendingVideos, and getVideoComments. Use zero-config mode by just adding the base npx command; transcripts work immediately without any API key.
Key features of Token Optimized Youtube Data and Transcript
- Token‑efficient data structure saving up to 87% of LLM context tokens.
- Optional MongoDB caching layer to avoid duplicate API quota consumption.
- Multi‑language transcript retrieval with full text or key segments.
- 97% test coverage, zero lint errors, and active Dependabot security patching.
- Tools for video details, search, channel stats, trending, categories, and comments.
- Zero‑config mode for transcripts; no API key required.
Use cases of Token Optimized Youtube Data and Transcript
- Content summarization and analysis from video transcripts.
- Market research and trend tracking by region and category.
- Sentiment analysis and feedback extraction from video comments.
- Niche outlier detection using channel performance metrics (requires MongoDB).
- Building cost‑effective AI workflows with strict YouTube API quota limits.
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