YouTube Data is a production-grade MCP (Model Context Protocol) server designed to provide AI agents with lean, token-efficient, and context-optimized access to YouTube data, including video details, transcripts, channel statistics, trending content, and comments. The tool streamlines and structures YouTube API responses for efficient use in large language models, featuring built-in caching to save API quotas and facilitate reliable, cost-effective workflows for developers and AI-powered applications. It is intended for developers, AI professionals, and teams integrating YouTube insights into their agentic workflows.
Visit YouTube Data's official website for product details and getting started.
Comprehensive API reference and integration guides for YouTube Data.
Explore practical applications and examples of using YouTube Data in projects.