Youtube Video Summarizer MCP Server

What is Youtube Video Summarizer MCP Server about?

A lightweight MCP server that pulls subtitles, captions, and key metadata (title, description, duration) from any YouTube URL and presents the data in a format readily consumable by AI assistants for summarization tasks.

How to use Youtube Video Summarizer MCP Server?

1. Install globally (or via npx): npm install -g youtube-video-summarizer-mcp or use the provided MCP configuration with npx.
2. Add to MCP client configuration:

{
  "mcpServers": {
    "youtube-video-summarizer": {
      "command": "youtube-video-summarizer",
      "args": []
    }
  }
}

3. Invoke the available tools through the MCP client, e.g., get-video-info-for-summary-from-url with a YouTube link.

Key features of Youtube Video Summarizer MCP Server

• Supports multiple YouTube URL patterns and extracts the video ID reliably.
• Retrieves captions/subtitles in various languages via youtube-caption-extractor.
• Provides full video metadata: title, description, duration, etc.
• Exposes three MCP commands: get-video-info-for-summary-from-url, get-video-captions, get-video-metadata.
• Works with any MCP‑compatible client without further integration work.

Use cases of Youtube Video Summarizer MCP Server

• AI assistants summarizing lengthy tutorials, webinars, or lectures.
• Building knowledge bases that index video content alongside textual summaries.
• Automating extraction of key points for content creators or analysts.
• Enabling multilingual summarization by selecting captions in the desired language.

FAQ from the Youtube Video Summarizer MCP Server

Q: Do I need a YouTube API key? A: No. The server extracts publicly available captions and metadata without requiring an API key.

Q: Which languages are supported for caption extraction? A: Any language for which the video provides subtitles; the underlying extractor will fetch all available tracks.

Q: Can I run the server locally without global installation? A: Yes. Use npx -y youtube-video-summarizer-mcp as shown in the serverConfig below.

Q: What if a video has no captions? A: The get-video-captions command will return an empty result, while metadata commands still work.

Q: Is the project open source? A: Yes, it is released under the MIT License.

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.

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 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 youtube-video-summarizer-mcp

Development

git clone https://github.com/nabid-pf/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.