YouTube Video Summarizer MCP
Fetch and summarize YouTube videos by extracting titles, descriptions, and transcripts.
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.
관련 서버
Bright Data
스폰서Discover, extract, and interact with the web - one interface powering automated access across the public internet.
Cloudflare Playwright
Control a browser for web automation tasks like navigation, typing, clicking, and taking screenshots using Playwright on Cloudflare Workers.
Web Fetch
Fetches and converts web content, ideal for data extraction and web scraping.
Crawl4AI RAG
Integrate web crawling and Retrieval-Augmented Generation (RAG) into AI agents and coding assistants.
Browser MCP
A fast, lightweight MCP server that empowers LLMs with browser automation via Puppeteer’s structured accessibility data, featuring optional vision mode for complex visual understanding and flexible, cross-platform configuration.
HTML to Markdown MCP
Fetch web pages and convert HTML to clean, formatted Markdown. Handles large pages with automatic file saving to bypass token limits.
Stepstone
Fetches job listings from Stepstone.de based on keywords and location parameters.
Browser Use
Automate browser tasks using the Browser Use API.
Fetch
Web content fetching and conversion for efficient LLM usage
Read Website Fast
Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.
ScreenshotOne
Render website screenshots with ScreenshotOne
