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Google Tasks MCP Server

@ktmage

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

ktmage

Google Tasks MCP Server について

AI assistants and Google Tasks integration through Model Context Protocol.

#todo#mcp#mcp-server#modelcontextprotocol

Google Tasks 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": {
    "mcp-google-tasks-ktmage": {
      "command": "node",
      "args": [
        "build/index.js"
      ]
    }
  }
}

Google Tasks 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 Google Tasks MCP Server?

An implementation for interacting with Google Tasks API through the Model Context Protocol (MCP). It enables MCP-compatible clients—such as Cursor—to use Google Tasks task management features directly from an AI assistant.

How to use Google Tasks MCP Server?

Clone the repository, install dependencies with npm install, enable the Google Tasks API in Google Cloud Console, and place a downloaded OAuth 2.0 desktop app credential file as credentials.json in the project root. Build with npm run build and run with node build/index.js; on first launch, a browser window prompts Google account authentication and generates a token.json for subsequent runs. For Cursor, add the server to ~/.cursor/mcp.json with "command": "node" and the full path to build/index.js.

Key features of Google Tasks MCP Server

  • Fetch all task list collections
  • List tasks within a specific task list
  • Create new tasks with optional notes and due date
  • Mark tasks as completed
  • Delete tasks

Use cases of Google Tasks MCP Server

  • Managing Google Tasks from an AI assistant in a Cursor IDE session
  • Automating task creation and completion based on AI-generated workflows
  • Querying task lists and individual tasks without leaving the development environment

よくある質問

1

What dependencies and runtime are required?

Node.js 16 or higher and npm are required, along with a Google Cloud Project account with the Google Tasks API enabled.

2

How does authentication work?

OAuth 2.0 is used. A downloaded credentials JSON file (renamed to `credentials.json`) must be placed in the project root. On first run, a browser window asks for Google account authentication, which creates a `token.json` file used automatically thereafter.

3

Where are credentials and tokens stored?

The OAuth client file is stored as `credentials.json` in the project root. The authentication token is stored locally as `token.json` in the same directory.

4

What transports and authentication methods are supported?

The README specifies standard MCP stdio transport (via the `mcp.json` configuration) and OAuth 2.0 for Google Tasks API access. No other transports are mentioned.

5

What should I do if I get an "invalid_grant" error?

Delete the `token.json` file and re-authenticate. Also verify that the Google Tasks API is enabled for the project in the Google Cloud Console.

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