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:
{
"mcpServers": {
"youtube-video-summarizer": {
"command": "npx",
"args": ["-y", "youtube-video-summarizer-mcp"]
}
}
}
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-mcp -
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
- 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.
Recommend MCP Servers 💡
chunker-mcp
A MCP server that chunks source code files with LangChain and stores chunks in ChromaDB with line range metadata.
Kiran1689/storyblok-mcp-server
MCP Server for managing Storyblok spaces, stories, components, assets, and workflows via Model Context Protocol
cognee-mcp
An MCP server that provides memory capabilities for AI agents through multiple transport protocols
ev_assistant
An MCP server for managing Electric Vehicle (EV) charging stations, trip planning, and EV-related resource management, offering tools and APIs for various EV services.
builtwith
A Model Context Protocol (MCP) server that integrates with BuiltWith's technology detection API, allowing AI assistants to identify the technology stack behind any website through natural language commands.
MariyaFilippova/mcp-strava
Facilitates seamless integration between Strava APIs and Claude for Desktop via MCP framework.
