YouTube Transcript MCP Server

YouTube Transcript MCP Server

By objones25 GitHub

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mathgpt math-solver
Overview

what is YouTube Transcript MCP Server?

YouTube Transcript MCP Server is a high-performance, serverless implementation that extracts transcripts from YouTube videos using the Model Context Protocol (MCP) and is deployed on Cloudflare Workers.

how to use YouTube Transcript MCP Server?

To use the server, you can send a request to the API with the YouTube video URL or ID to retrieve the transcript. It can be integrated with Claude Desktop or run locally using Node.js.

key features of YouTube Transcript MCP Server?

  • Serverless deployment on Cloudflare for minimal latency
  • Supports multiple YouTube URL formats and direct video IDs
  • Language selection for transcripts
  • Ultra-fast response times (400-800ms)
  • Minimal codebase for easy maintenance
  • Implements Server-Sent Events for streaming connections

use cases of YouTube Transcript MCP Server?

  1. Extracting transcripts for video summaries
  2. Retrieving subtitles in different languages
  3. Integrating with AI assistants for enhanced user interaction

FAQ from YouTube Transcript MCP Server?

  • Can I use this server for any YouTube video?

Yes! As long as you have the video URL or ID, you can extract the transcript.

  • Is there a limit to the number of requests?

The server is designed to handle multiple requests efficiently, but usage limits may depend on your Cloudflare plan.

  • How do I deploy it to Cloudflare?

You can deploy it using the Wrangler CLI with the command wrangler deploy.

Content

YouTube Transcript MCP Server

A high-performance, serverless implementation of a YouTube transcript extraction service using the Model Context Protocol (MCP), deployed on Cloudflare Workers.

Overview

This MCP server enables AI assistants to retrieve transcripts from YouTube videos through a simple API. The implementation combines the lightweight transcript extraction capabilities seen in kimtaeyoon83/mcp-server-youtube-transcript with the remote MCP server architecture from Cloudflare AI demos.

Features

  • Serverless Deployment: Runs on Cloudflare's global edge network for minimal latency
  • YouTube URL Flexibility: Supports multiple URL formats and direct video IDs
  • Language Selection: Retrieve transcripts in different languages (defaults to English)
  • Edge-optimized: Ultra-fast response times (typically 400-800ms)
  • Minimal Implementation: Less than 300 lines of code for easy maintenance
  • SSE Transport: Implements Server-Sent Events for streaming connections

Available Tools

ToolDescriptionParameters
get_transcriptExtract transcripts from YouTube videosurl (required): YouTube video URL or ID
lang (optional, default: "en"): Language code

Usage with Claude Desktop

Installation

  1. Open Claude Desktop and go to Settings > Developer > Edit Config
  2. Update your configuration file:
{
  "mcpServers": {
    "youtube-transcript": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://your-deployed-worker.workers.dev/sse"
      ]
    }
  }
}
  1. Restart Claude Desktop

Example Prompts

Can you show me the transcript of this YouTube video? https://www.youtube.com/watch?v=dQw4w9WgXcQ
Extract the transcripts from this TED talk and summarize the key points: https://youtu.be/8S0FDjFBj8o

Local Development

Prerequisites

  • Node.js 18 or higher
  • Wrangler CLI (npm install -g wrangler)

Setup

# Clone the repository
git clone https://github.com/yourusername/youtube-transcript-mcp-server.git
cd youtube-transcript-mcp-server

# Install dependencies
npm install

# Run locally
wrangler dev

Testing with MCP Inspector

  1. Install the MCP Inspector:

    npx @modelcontextprotocol/inspector
    
  2. In the inspector:

    • Set Transport Type to SSE
    • Enter http://localhost:8787/sse as the URL
    • Click "Connect"
  3. Try out the get_transcript tool with different YouTube URLs

Deployment to Cloudflare

# Deploy to Cloudflare Workers
wrangler deploy

Technical Implementation

The server is built with a minimal, high-efficiency codebase:

  • YouTubeTranscriptMCPSqlite: Core MCP agent implementation with transcript extraction capabilities
  • McpServer: Handles MCP protocol interactions
  • MCP Protocol Integration: Complete implementation of the Model Context Protocol

Key optimizations:

  1. Efficient URL parsing and validation
  2. Minimal external dependencies
  3. Proper error handling with detailed error messages
  4. Streaming support through SSE

Credits

License

MIT

No tools information available.

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