What tools are available?
The server provides tools for projects, sections, tasks, and comments, including `todoist_get_projects`, `todoist_add_task`, `todoist_complete_task`, `todoist_get_comments`, and more.
@mikemc
基本情報
Todoist MCP server
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": "uvx",
"args": [
"--from",
"git+https://github.com/mikemc/todoist-mcp-server",
"todoist-mcp"
],
"env": {
"TODOIST_API_TOKEN": "your_todoist_api_token"
}
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Todoist MCP server written in Python that uses the Todoist Python API to allow AI assistants (like Claude and Goose) to manage Todoist tasks, projects, sections, and comments. It was initially created by translating a TypeScript Todoist MCP server to Python.
Install Python 3.10+, the UV package manager, and obtain a Todoist API token. Configure the server in claude_desktop_config.json using the uvx command with your token. Alternatively, configure it with Goose via goose configure and setting environment variables. Then invoke tools like todoist_get_tasks, todoist_add_task, etc.
The server provides tools for projects, sections, tasks, and comments, including `todoist_get_projects`, `todoist_add_task`, `todoist_complete_task`, `todoist_get_comments`, and more.
Log in to your Todoist account, go to Settings → Integrations, and find your API token under "Developer".
Yes, you can configure it with Goose using a local model provider like LM Studio or Ollama.
The server requires Python 3.10+, the UV package manager, and a Todoist API token. No separate database or runtime is needed beyond these.
This project is a Python translation of the TypeScript [todoist-mcp-server](https://github.com/abhiz123/todoist-mcp-server) by abhiz123, and is licensed under the MIT License.

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