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YouTube MCP Server

@adamanz

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 license

トランスポート

stdio

作者

adamanz

YouTube MCP Server について

An MCP server that enables uploading videos to YouTube through Claude Desktop or any MCP-compatible client

#youtube-mcp-server#video-upload#mcp-client

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-server-adamanz": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

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?

An MCP (Model Context Protocol) server that enables uploading videos to YouTube through Claude Desktop or any MCP-compatible client. It handles OAuth2 authentication, quota monitoring, and video metadata configuration.

How to use YouTube MCP Server?

Install Python 3.10+, clone the repository, create a virtual environment, and install dependencies. Set up a Google Cloud project with YouTube Data API v3 and OAuth2 credentials, then configure Claude Desktop to point to youtube_uploader.py. On first use, run the setup_youtube_auth tool with your OAuth2 client details, then use the upload_video tool to upload files.

Key features of YouTube MCP Server

  • Upload video files with customizable metadata
  • OAuth2 authentication with YouTube API
  • Check your YouTube API quota usage
  • List available video categories by region
  • Built‑in credential configuration tool

Use cases of YouTube MCP Server

  • Schedule video uploads through a Claude Desktop conversation.
  • Automate batch uploads by scripting the upload_video tool.
  • Monitor YouTube API quota before uploading large projects.

よくある質問

1

What does YouTube MCP Server do?

It lets you upload videos to your YouTube channel directly from any MCP‑compatible client (e.g., Claude Desktop), handling authentication, metadata, and resumable uploads.

2

What prerequisites are needed?

Python 3.10 or higher, a Google Cloud project with the YouTube Data API v3 enabled, OAuth2 credentials (downloaded as JSON), and an MCP client such as Claude Desktop.

3

Where are OAuth2 tokens stored?

Tokens are stored locally in a `token.json` file. The server automatically refreshes expired tokens.

4

What are the YouTube API quota limits?

Each upload consumes approximately 1,600 units out of the daily 1,600,000‑unit quota. If exceeded, you must wait 24 hours for a reset.

5

How do I resolve authentication errors?

Delete the `token.json` file and re‑run the `setup_youtube_auth` tool to re‑authenticate.

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