@herrwelle
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"youtube-transcript-mcp-server-herrwelle": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector"
]
}
}
}Extract transcripts from YouTube videos
A high-performance, serverless implementation of a YouTube transcript extraction service using the Model Context Protocol (MCP), deployed on Cloudflare Workers. It enables AI assistants to retrieve transcripts from YouTube videos through a simple API.
Install by configuring Claude Desktop with a remote MCP server URL. Use the get_transcript tool with a YouTube URL or video ID and an optional language code (defaults to English). Run locally with wrangler dev after cloning the repository and installing dependencies. Deploy with wrangler deploy.
The README lists Node.js 18 or higher, Wrangler CLI (`npm install -g wrangler`), and dependencies installed via `npm install`. It uses `@modelcontextprotocol/sdk` and `youtube-captions-scraper`.
Use `wrangler dev` to run locally, then test with the MCP Inspector by setting Transport Type to `SSE` and entering `http://localhost:8787/sse` as the URL. Connect and try the `get_transcript` tool.
It uses Server-Sent Events (SSE) for streaming connections, as indicated in the README under “SSE Transport” and in the configuration example for Claude Desktop.
The README does not explicitly state any limits, but the implementation relies on `youtube-captions-scraper` for transcript extraction and runs on Cloudflare Workers, which have standard Workers limits (not detailed in the README).
The README does not describe authentication. The remote server is accessed via a public URL (e.g., `https://your-deployed-worker.workers.dev/sse`). No auth mechanisms are mentioned.
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