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YouTube MCP Server

@nattyraz

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

nattyraz

关于 YouTube MCP Server

A Model Context Protocol (MCP) server for YouTube videos with caption extraction and markdown conversion capabilities

#youtube-mcp#caption-extraction#markdown-conversion

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-nattyraz": {
      "command": "node",
      "args": [
        "src/get-api-key.js"
      ]
    }
  }
}

YouTube MCP 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 tools for extracting video metadata, captions from YouTube, and converting them to markdown format with various templates. It is designed for developers who want to integrate YouTube data into MCP‑compatible clients (e.g., Roo Cline).

How to use YouTube MCP Server?

Install Node.js v16+, clone the repository, install dependencies (npm install), build the project (npm run build), and configure a .env file with your YouTube Data API key and optionally OAuth2 credentials. Then add the server to your MCP settings file (e.g., ~/.config/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json) with the command node path/to/build/index.js and the required environment variables. Use tools like get_video_info, get_captions, convert_to_markdown, and list_templates via MCP tool calls.

Key features of YouTube MCP Server

  • Fetch comprehensive video metadata (title, description, etc.)
  • Extract auto‑generated and manual captions
  • Support for English and French captions
  • Three built‑in markdown templates: basic, detailed, and search
  • Search functionality within video captions
  • Flexible authentication: API key or OAuth2

Use cases of YouTube MCP Server

  • Automatically extract video captions for transcription or analysis
  • Convert YouTube videos to structured markdown notes with timestamps
  • Search for specific keywords inside a video’s captions
  • Generate summaries or highlight reels using the search template
  • Integrate YouTube data into AI‑powered workflows via MCP

常见问题

1

What are the prerequisites for using YouTube MCP Server?

Node.js v16 or higher, npm or yarn, and a YouTube Data API key and/or OAuth2 credentials from the Google Cloud Console.

2

How do I authenticate with YouTube MCP Server?

You can use either a YouTube Data API key (set `YOUTUBE_API_KEY` in `.env`) or OAuth2. For OAuth2, create a Google Cloud project, enable the YouTube Data API v3, generate OAuth2 credentials (Web application type), and run the included authentication script to obtain a refresh token.

3

What markdown templates are available?

Three built‑in templates: **basic** (simple transcript), **detailed** (full metadata with timestamps), and **search** (results highlighting with context). You can also add custom templates by modifying the `DEFAULT_TEMPLATES` array in `src/index.ts`.

4

Can I get captions in languages other than English?

Yes, the server has built‑in support for English (default) and French. You can specify a language code (e.g., `"fr"`) in the `get_captions` or `convert_to_markdown` tool call.

5

How does OAuth2 work for accessing private videos?

OAuth2 is required for private videos. After setting up credentials in the Google Cloud Console, run `node src/get-api-key.js` and follow the browser prompts to authorize. The refresh token is then added to your configuration for persistent access.

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