anaisbetts/mcp-youtube

Overview

An open-source MCP server that exposes YouTube data to AI agents via the Model Context Protocol. It lets language models search videos, retrieve captions, and fetch channel information through a standardized interface.

Best for

Best for
Developers building AI agents that need to search or transcribe YouTube content

Use cases

• Building an AI assistant that can search and summarize YouTube videos
• Extracting captions or metadata from YouTube channels programmatically
• Integrating YouTube content discovery into agentic workflows

Notes

An open-source MCP server that exposes YouTube data to AI agents via the Model Context Protocol. It lets language models search videos, retrieve captions, and fetch channel information through a standardized interface.

525 stars on GitHub. Last updated 2026-05-04. Licensed MIT.

Use cases

• Building an AI assistant that can search and summarize YouTube videos
• Extracting captions or metadata from YouTube channels programmatically
• Integrating YouTube content discovery into agentic workflows

Pros

• Simple, focused implementation in JavaScript with clear MCP integration
• Active community with over 500 stars indicating reliability
• Handles common YouTube data tasks without needing full API wrappers

Cons

• Limited to read-only operations (no uploads or comments)
• Requires a running MCP host to function, adding deployment overhead
• Dependent on YouTube’s public API which may have rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.