Provides token-optimized, structured data for LLMs from the YouTube Data API v3.
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This Model Context Protocol (MCP) server empowers AI language models to seamlessly interact with YouTube. It's engineered to return lean, structured data, significantly reducing token consumption and making it ideal for cost-effective and performant LLM applications. Access a comprehensive suite of tools for video search, detail retrieval, transcript fetching, channel analysis, and trend discovery—all optimized for AI.
Key Features
01LLM-Centric Data Design for easy consumption
02Comprehensive YouTube Toolkit for video, channel, and trend data
03Efficient Transcript Management with multi-language support
04Optimized Video Information Retrieval (metadata, statistics, engagement)
052 GitHub stars
06Token Efficiency for LLM applications
Use Cases
01Enabling AI language models to analyze YouTube content efficiently
02Developing cost-effective and performant LLM applications requiring YouTube data
03Reducing API token consumption for LLM applications interacting with YouTube
