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YouTube Transcript MCP Server

by objones25

This is a high-performance, serverless YouTube transcript extraction service using the Model Context Protocol (MCP). It's deployed on Cloudflare Workers, enabling AI assistants to retrieve transcripts from YouTube videos through a simple API.

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What is YouTube Transcript MCP Server?

This MCP server is a service that extracts transcripts from YouTube videos and makes them accessible via an API, designed for use with AI assistants and other applications that need to process video content. It leverages Cloudflare Workers for serverless deployment and efficient performance.

How to use YouTube Transcript MCP Server?

To use the server, you need to configure your AI assistant (like Claude Desktop) with the server's URL. You can then send requests with YouTube video URLs or IDs to retrieve the transcript. The server supports language selection and returns the transcript in the specified language (defaulting to English).

Key features of YouTube Transcript MCP Server

  • Serverless Deployment

  • YouTube URL Flexibility

  • Language Selection

  • Edge-optimized

  • Minimal Implementation

  • SSE Transport

Use cases of YouTube Transcript MCP Server

  • AI assistants retrieving transcripts for summarization

  • Applications needing to analyze YouTube video content

  • Generating subtitles or captions

  • Creating searchable archives of video content

FAQ from YouTube Transcript MCP Server

What is MCP?

MCP stands for Model Context Protocol, a standard for communication between AI models and external tools.

What URL formats are supported?

The server supports various YouTube URL formats and direct video IDs.

How do I specify the language of the transcript?

You can specify the language code (e.g., 'en' for English, 'es' for Spanish) as a parameter in your request.

What is SSE Transport?

SSE (Server-Sent Events) is a protocol that allows the server to push updates to the client in real-time, enabling streaming connections.

How can I deploy this server?

The server is designed to be deployed on Cloudflare Workers using the Wrangler CLI.