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Todoist MCP Server (Python)

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

生産性

トランスポート

stdio

作者

MCP-Mirror

Todoist MCP Server について

Mirror of

#todoist#mcp-server#python

Todoist 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": {
    "todoist": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/todoist-mcp-server",
        "run",
        "main.py"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your_todoist_api_token"
      }
    }
  }
}

Todoist 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 Todoist MCP Server (Python)?

The Todoist MCP Server (Python) is a server that integrates Todoist with the Model Context Protocol (MCP), enabling AI assistants like Claude to interact with Todoist tasks and projects. It is a Python port of an existing TypeScript version, using the Python MCP SDK and Todoist Python API.

How to use Todoist MCP Server (Python)?

Install Python 3.10+ and UV package manager, obtain a Todoist API token from your account settings (Settings → Integrations → Developer), then configure your MCP client (e.g., Claude Desktop) by adding the server entry to claude_desktop_config.json with the absolute path to the server directory and the token as an environment variable.

Key features of Todoist MCP Server (Python)

  • Integrates Todoist with MCP‑compatible clients
  • Leverages Python MCP SDK and Todoist Python API
  • Provides tools for task and project management

Use cases of Todoist MCP Server (Python)

  • Using AI assistants to create, read, update, or delete Todoist tasks
  • Managing Todoist projects and tasks via natural language commands in an MCP client

よくある質問

1

What is the difference between this and the TypeScript server?

This server is a Python port of the TypeScript Todoist MCP server, providing the same functionality while using the Python MCP SDK and Todoist Python API.

2

What are the runtime requirements?

Python 3.10 or higher, the UV package manager, and a valid Todoist API token.

3

Where does my data live?

The server interacts with Todoist’s cloud API; tasks and projects data remain on Todoist’s servers, accessed via the API token provided in configuration.

4

What transport does it use?

The server uses the standard MCP transport, communicating over stdin/stdout as configured in the MCP client.

5

How is authentication handled?

Authentication is done via a Todoist API token, which must be set as the `TODOIST_API_TOKEN` environment variable in the client configuration.

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