Extracts video captions, subtitles, metadata, titles, descriptions, and duration from YouTube videos to enable comprehensive video analysis and summarization.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@YouTube Video Summarizer MCP Serversummarize this video: https://youtube.com/watch?v=dQw4w9WgXcQ"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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, you can use either method:
Option 1: Using npx (No Installation Required)
Add the following to your MCP client configuration file:
The server automatically filters out any npm/npx output to ensure MCP protocol compliance.
Option 2: Global Installation (Recommended for Production)
Install the package globally:
npm install -g youtube-video-summarizer-mcpAdd the following to your MCP client configuration file:
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:
Installation
Development
How It Works
URL Parsing: Extracts video IDs from various YouTube URL formats
Caption Extraction: Uses youtube-caption-extractor to get subtitles
Metadata Retrieval: Fetches video title, description, and other details
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.