What are the prerequisites to run youtube_mcp?
You need an OpenAI API key and cookies from your YouTube session (extracted and placed in `cookies.txt`).
@format37
基本信息
youtube transcriber mcp server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:7001/sse",
"--header",
"Authorization:YOUR-TOKEN",
"--allow-http"
],
"disabled": false
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
youtube_mcp is an MCP server that transcribes YouTube videos. It requires an OpenAI API key and cookie-based authentication. It is designed for use with AI assistants like Claude Desktop.
Install by cloning the repository, extracting your YouTube cookies into cookies.txt, generating a MCP key, and setting environment variables. Run with ./compose.sh which starts a Docker container. Then configure a client (e.g., Claude Desktop) to connect via mcp-remote with an Authorization header.
You need an OpenAI API key and cookies from your YouTube session (extracted and placed in `cookies.txt`).
Clone the repo, create a `.env` file with `OPENAI_API_KEY`, `MCP_KEY`, `PORT`, and `CONTAINER_NAME`. Generate the MCP key with `python token_generator.py`. Then run `./compose.sh`.
Add an entry to the Claude Desktop config using `npx mcp-remote` with the server URL `http://localhost:7001/sse` and an Authorization header containing your MCP key.
It uses Server-Sent Events (SSE) over HTTP, accessed via the `/sse` endpoint.
The client sends an `Authorization` header with the value `YOUR-TOKEN` (the MCP key generated during setup).

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Transcripts for one YouTube video or a whole channel or playlist, plus YouTube search, channel and playlist listings, and free new-upload tracking.

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