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YouTube MCP Server

@nattyraz

リポジトリ

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT

トランスポート

stdio

作者

nattyraz

YouTube MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

YouTube MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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