What is Remote Cloudflare Youtube Transcript Mcp Server

The remote-cloudflare-youtube-transcript-mcp-server is a high-performance, serverless implementation of a YouTube transcript extraction service. It utilizes the Model Context Protocol (MCP) and is deployed on Cloudflare Workers, allowing AI assistants to easily retrieve transcripts from YouTube videos via a simple API.

Use cases

Use cases include retrieving transcripts for video summaries, extracting key points from talks or lectures, and assisting AI assistants in providing information based on video content.

How to use

To use the remote-cloudflare-youtube-transcript-mcp-server, install Claude Desktop, navigate to Settings > Developer > Edit Config, and update your configuration file with the provided MCP server details. After restarting Claude Desktop, you can use prompts to extract transcripts from YouTube videos.

Key features

Key features include serverless deployment on Cloudflare’s global edge network for low latency, support for various YouTube URL formats, language selection for transcripts, ultra-fast response times (400-800ms), minimal implementation with less than 300 lines of code, and support for Server-Sent Events for streaming connections.

Where to use

This MCP server can be used in various fields such as education, content creation, research, and any application that requires extracting and analyzing video transcripts from YouTube.

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

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"
      ]
    }
  }
}

3. 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

• Built with @modelcontextprotocol/sdk
• Uses youtube-captions-scraper for transcript extraction
• Inspired by:
  • kimtaeyoon83/mcp-server-youtube-transcript
  • Cloudflare AI Remote MCP Server demo

License

MIT