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anaisbetts/mcp-youtube

by Various

A Model-Context Protocol Server for YouTube

A

MCP

anaisbetts/mcp-youtube

Added 1 June 2026

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

How to use

Install

mcp-installer install @anaisbetts/mcp-youtube

Tools exposed

  • yt-dlp
  • mcp-installer

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.

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
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