- Youtube Video Summarizer
Youtube Video Summarizer
Content
YouTube Video Summarizer MCP
An MCP (Model Context Protocol) server that enables Claude to fetch and summarize YouTube videos by extracting titles, descriptions, and transcripts.
Features
- Extract YouTube video metadata (title, description, duration)
- Retrieve and process video captions using youtube-caption-extractor
- Provide structured data to Claude for comprehensive video summarization
- Works with Claude Desktop through MCP integration
Prerequisites
- Node.js (v18 or higher)
Integrating with Claude Desktop
To add the MCP server to Claude Desktop:
- Go to Settings > Developer > Edit config
- Add the following to your claude_desktop_config.json file:
{
"mcpServers": {
"youtube-video-summarizer": {
"command": "npx",
"args": ["-y", "youtube-video-summarizer-mcp"]
}
}
}
Available MCP Commands
When integrated with Claude, the following commands become available:
get-video-info-for-summary-from-url: Get basic information about a YouTube video
Example Usage
Once integrated with Claude Desktop, you can use natural language to request video summaries:
- "Can you summarize this YouTube video for me? https://www.youtube.com/watch?v=dQw4w9WgXcQ"
- "What are the key points from this video: https://www.youtube.com/watch?v=dQw4w9WgXcQ"
- "Create a comprehensive summary of this tutorial: https://www.youtube.com/watch?v=dQw4w9WgXcQ"
For Developers
Building from Source
# Clone the repository
git clone https://github.com/yourusername/youtube-video-summarizer-mcp.git
cd youtube-video-summarizer-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Start the inspector
npx @modelcontextprotocol/inspector node dist/index.js
Run tool
- Click connect
- Select the tool to run
- Put video url in the field
- Click run
How It Works
This project uses:
youtube-caption-extractorto extract video captions/transcripts- The Model Context Protocol (MCP) to communicate with Claude
License
MIT
Server Config
{
"mcpServers": {
"youtube-video-summarizer": {
"command": "npx",
"args": [
"-y",
"youtube-video-summarizer-mcp"
]
}
}
}Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Tavily Mcp
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
WindsurfThe new purpose-built IDE to harness magic
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Playwright McpPlaywright MCP server
DeepChatYour AI Partner on Desktop
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
CursorThe AI Code Editor
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Amap Maps高德地图官方 MCP Server
Serper MCP ServerA Serper MCP Server
ChatWiseThe second fastest AI chatbot™
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code