yt-mcp

ShawhinT/yt-mcp

3.3

If you are the rightful owner of yt-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server designed to enhance interaction with Shaw Talebi's YouTube videos by providing tools for transcript extraction, chapter generation, and blog post creation.

The YouTube MCP Server is a specialized platform that facilitates the interaction with Shaw Talebi's YouTube content, focusing on AI and entrepreneurship. It offers a suite of tools that allow users to extract timestamped transcripts from videos, generate structured chapters, and convert these transcripts into engaging blog posts. This server is particularly useful for AI assistants, enabling them to access a curated library of videos and transform video content into various formats for enhanced user engagement. The server is designed to be integrated with AI applications, providing a seamless experience for users looking to leverage video content for educational or professional purposes. With its robust set of features, the YouTube MCP Server is an invaluable resource for those interested in AI and entrepreneurship, offering a streamlined process for content extraction and transformation.

Features

  • Extract timestamped transcripts from YouTube videos
  • Access a curated library of AI and entrepreneurship videos
  • Generate structured video chapters from transcripts
  • Convert video transcripts into engaging blog posts
  • Get a table of Shaw Talebi's YouTube videos as of June 25, 2025

Usages

usage with Claude Desktop

{
  "mcpServers": {
    "YT-MCP": {
      "command": "/Users/shawhin/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/shawhin/Documents/repos/yt-mcp/",
        "run",
        "main.py"
      ]
    }
  }
}

usage with Cursor

{
  "mcpServers": {
    "YT-MCP": {
      "command": "/Users/shawhin/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/shawhin/Documents/repos/yt-mcp/",
        "run",
        "main.py"
      ]
    }
  }
}

Tools

  1. fetch_youtube_transcript

    Extract formatted transcripts with timestamps from YouTube URLs