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ytt-mcp

by cottongeeks·71·Score 43

MCP server for fetching YouTube video transcripts with multiple integrations.

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Overview

ytt-mcp is a specialized MCP server that enables fetching YouTube video transcripts through the Model Context Protocol. The server provides a clean interface for AI applications to access video content text without leaving the client environment. It supports multiple platforms including Claude Desktop and Raycast, making it versatile for different use cases and workflows.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Summarize YouTube content without watching videos
you:Analyze video content for research purposes
you:Integrate video transcripts into AI-powered workflows
you:What YouTube features does ytt-mcp support?
you:Can I use ytt-mcp with other AI assistants besides Claude?

When to choose this

Choose this when you need to analyze YouTube content within your AI workflow, especially if you're already using Claude Desktop or Raycast.

When NOT to choose this

Don't choose this if you need to work with private videos or require processing video content beyond transcript extraction.

Tools this server exposes

1 tool extracted from the README (low confidence)
  • fetch_transcript

    Fetches transcript for a YouTube video

Note: Tool name inferred from usage examples and description, as no explicit 'Tools' section was provided in the README

Comparable tools

ytube-mcpyoutube-api-mcpplaywright-mcp

Installation

Install and run using uv:

# Install using uv
uv add ytt-mcp

# Run with uvx
uvx ytt-mcp

For Claude Desktop, add to your claude-desktop-config.json:

{
  "mcpServers": {
    "ytt-mcp": {
      "command": "uvx",
      "args": ["ytt-mcp"]
    }
  }
}

FAQ

What YouTube features does ytt-mcp support?
The server provides access to YouTube video transcripts, allowing extraction of the text content from videos without the need to watch them.
Can I use ytt-mcp with other AI assistants besides Claude?
Yes, as an MCP server, it can be integrated with any MCP-compatible client that supports the protocol.

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Last updated · Auto-generated from public README + GitHub signals.