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Remote Cloudflare Youtube Transcript

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Remote Cloudflare Youtube Transcript — Model Context Protocol server

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About

Remote Cloudflare Youtube Transcript — Model Context Protocol server

README

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

Tool Description Parameters
get_transcript Extract transcripts from YouTube videos url (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

from github.com/objones25/remote-cloudflare-youtube-transcript-mcp-server

Installing Remote Cloudflare Youtube Transcript

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/objones25/remote-cloudflare-youtube-transcript-mcp-server

FAQ

Is Remote Cloudflare Youtube Transcript MCP free?

Yes, Remote Cloudflare Youtube Transcript MCP is free — one-click install via Unyly at no cost.

Does Remote Cloudflare Youtube Transcript need an API key?

No, Remote Cloudflare Youtube Transcript runs without API keys or environment variables.

Is Remote Cloudflare Youtube Transcript hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Remote Cloudflare Youtube Transcript in Claude Desktop, Claude Code or Cursor?

Open Remote Cloudflare Youtube Transcript on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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