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YouTube MCP(Model Context Protcol) Server

@PrajwalPrashanth

代码仓库

基本信息

分类

媒体与设计

传输方式

stdio

作者

PrajwalPrashanth

关于 YouTube MCP(Model Context Protcol) Server

MCP server to fetch and extract transcripts from YouTube videos. Enable AI/LLMs to have access to transcripts for further actions like summarize, write blog..

#youtube#mcp#transcripts#claude#model-context-protocol#mcp-server

YouTube MCP(Model Context Protcol) 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-server-prajwalprashanth": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

YouTube MCP(Model Context Protcol) Server 工具

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is YouTube MCP Server?

YouTube MCP Server is a Model Context Protocol (MCP) server that provides a tool to fetch and extract transcripts from YouTube videos. It enables AI language models to access complete text transcripts from YouTube URLs, process video content through transcripts, and reference video information in conversations.

How to use YouTube MCP Server?

Install the dependencies and add the server to Claude Desktop using uv run mcp install -e . server.py -n "youtube-mcp". Once installed, a tool icon appears in the Claude Desktop UI; provide a YouTube video URL and ask for actions such as summarization using the transcript.

Key features of YouTube MCP Server

  • Fetches and extracts transcripts from YouTube video URLs
  • Provides complete text transcripts to AI language models
  • Acts as a bridge between AI models and YouTube content
  • Automatically formats extracted transcript text

Use cases of YouTube MCP Server

  • Summarize the content of a YouTube video using its transcript
  • Analyze or discuss specific parts of a video’s spoken content
  • Extract information from educational or tutorial videos for reference

常见问题

1

What exactly does this server do?

It fetches the transcript text of a YouTube video and provides it to an AI model, allowing the model to process and discuss the video content.

2

What dependencies are required?

You need Python, the `uv` package manager, and the dependencies listed in `pyproject.toml`. The README provides install commands for macOS, Linux, and Windows.

3

How do I add this server to Claude Desktop?

Run `uv run mcp install -e . server.py -n "youtube-mcp"` from the cloned repository directory after setting up the virtual environment and installing dependencies.

4

How do I use it after installation?

Once the tool icon appears in Claude Desktop, simply provide a YouTube URL and ask the model to perform an action like summarizing the video’s transcript.

5

Is there any authentication or transport configuration required?

The README does not mention any authentication, API keys, or transport settings. Setup follows the standard MCP server configuration for Claude Desktop.

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