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YouTube MCP Server

@IA-Programming

代码仓库

基本信息

分类

媒体与设计

许可证

MIT

传输方式

stdio

作者

IA-Programming

关于 YouTube MCP Server

YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic searches over video content—all without relying on the official API. By integrating

#youtube#ai#mcp#transcripts#semantic-search

YouTube MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "Youtube-MCP": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

YouTube MCP Server 工具

4

query: Search query string

video_url: URL of the YouTube video

video_url: URL of the YouTube video

query: Search query

概览

What is YouTube MCP Server?

A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content. It uses a Google API key for embeddings and is designed for AI workflows.

How to use YouTube MCP Server?

Install dependencies with uv, create a .env file with your Google API key, and run uv run python server.py directly or configure the server in your MCP client (e.g., Claude Desktop) by providing the path to server.py and the API key. Once running, the client automatically discovers the tools.

Key features of YouTube MCP Server

  • Search YouTube videos without using the official API
  • Retrieve video transcripts
  • Store video information and transcripts in a vector database
  • Perform semantic search over stored transcripts

Use cases of YouTube MCP Server

  • Search for YouTube videos by query and get their transcripts
  • Build a local knowledge base of video content for research
  • Semantic search across multiple video transcripts
  • Integrate YouTube content into AI assistants like Claude Desktop

常见问题

1

What does YouTube MCP Server do?

It provides MCP tools to search YouTube, retrieve video transcripts, store them in a vector database, and perform semantic search over stored transcripts.

2

What are the prerequisites?

Python 3.8+, a Google API key for embeddings, and the `uv` package manager.

3

How do I run YouTube MCP Server?

You can start it directly with `uv run python server.py` or configure it in Claude.app settings by adding the server path and your API key to the MCP servers configuration.

4

What tools does YouTube MCP Server provide?

Four tools: `search-youtube`, `get-transcript`, `store-video-info`, and `search-transcripts`.

5

How do I troubleshoot issues?

Ensure your Google API key is correctly set in the `.env` file, all dependencies are installed, the server is running, and check for error messages in the server output.

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