A production-grade YouTube Data MCP server engineered specifically for AI agents.
Unlike standard API wrappers that flood your LLM with redundant data, this server strips away YouTube's heavy payload bloat. It is designed to save you massive amounts of context window tokens, protect your daily API quotas via caching, and run reliably without breaking your workflows.
Most MCP servers are weekend projects. @kirbah/mcp-youtube is built for reliable, daily, cost-effective agentic workflows.
🎯 Want feedback on your own channel, not just raw data? Check out CreatorLens - a companion Claude Skill built on this MCP that diagnoses common growth problems (weak hooks, bad thumbnails, flatlined videos) using a real strategist's framework, not just numbers.
The raw YouTube API returns massive JSON payloads filled with nested eTags, redundant thumbnails, and localization data that LLMs don't need. This server structures the data to give your LLM exactly what it needs to reason, and nothing else.