YouTube Video Summarizer MCP Server

YouTube Video Summarizer MCP Server

Extracts captions, metadata, and descriptions from YouTube videos to enable AI assistants to summarize their content.

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YouTube Video Summarizer MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to analyze and summarize YouTube videos by extracting captions, descriptions, and metadata.

Original Project: This is a fork of youtube-video-summarizer-mcp maintained by bachstudio.

Features

  • Extract video captions/subtitles in multiple languages
  • Retrieve comprehensive video metadata (title, description, duration)
  • Provide structured data to AI assistants for comprehensive video summarization
  • Works with any MCP-compatible client through MCP integration
  • Support for multiple YouTube URL formats
  • Language-specific caption extraction

Integrating with MCP Clients

To add the MCP server to your MCP client:

  1. Install the package globally: npm install -g @bachstudio/youtube-video-summarizer-mcp
  2. Add the following to your MCP client configuration file:
{
  "mcpServers": {
    "youtube-video-summarizer": {
      "command": "youtube-video-summarizer",
      "args": []
    }
  }
}

Available Tools

When integrated with an MCP client, the following commands become available:

  • get-video-info-for-summary-from-url: Extract video information and captions from a YouTube URL
  • get-video-captions: Get captions/subtitles for a specific video
  • get-video-metadata: Retrieve comprehensive video metadata

Usage Examples

Once integrated with your MCP client, you can use natural language to request video summaries:

"Can you summarize this YouTube video: https://youtube.com/watch?v=VIDEO_ID"
"What are the main points from this video's captions?"
"Extract the key information from this YouTube link"

Installation

npm install -g @bachstudio/youtube-video-summarizer-mcp

Development

git clone https://github.com/BACH-AI-Tools/youtube-video-summarizer-mcp.git
cd youtube-video-summarizer-mcp
npm install
npm run build

How It Works

  1. URL Parsing: Extracts video IDs from various YouTube URL formats
  2. Caption Extraction: Uses youtube-caption-extractor to get subtitles
  3. Metadata Retrieval: Fetches video title, description, and other details
  4. MCP Integration: The Model Context Protocol (MCP) to communicate with AI assistants

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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