What is the YouTube Video Summarizer MCP?

The YouTube Video Summarizer MCP (Model Context Protocol) is a tool that allows Claude to fetch and summarize YouTube videos by extracting titles, descriptions, and transcripts.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs (Large Language Models).

How does the YouTube Video Summarizer MCP work?

It extracts video metadata (title, description, duration) and retrieves video captions using youtube-caption-extractor. Then, it provides structured data to Claude for comprehensive video summarization.

What are the prerequisites for using this MCP server?

You need Node.js (v18 or higher) installed on your system.

How do I integrate the MCP server with Claude Desktop?

Go to Settings > Developer > Edit config in Claude Desktop. Add the provided JSON configuration to your claude_desktop_config.json file.

What command is available after integration?

The get-video-info-for-summary-from-url command becomes available, allowing you to get basic information about a YouTube video for summarization.

Can you give some examples of how to use it with Claude?

You can use natural language prompts like: “Can you summarize this YouTube video for me? [Video URL]” or “What are the key points from this video: [Video URL]”

How do I build the project from source?

Clone the repository, install dependencies using npm install, and build the project using npm run build.

What license is this project released under?

MIT License

How does this integrate with UBOS?

UBOS can orchestrate this MCP server with other AI agents, connect it to enterprise data, and allow you to build custom AI agents using UBOS’s low-code/no-code environment. This enables more complex tasks involving video analysis and automation.