What are the requirements to run MCP-Todoist Integration?
Python 3.10 or higher, a Todoist account with an API token, and an MCP‑compatible client (such as Claude Desktop).
@stevengonsalvez
基本情報
MCP server for Todoist integration for Natural language task management
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-todoist-stevengonsalvez": {
"command": "uv",
"args": [
"pip",
"sync",
"requirements.txt"
]
}
}
}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。
MCP-Todoist Integration is a Model Context Protocol (MCP) server that enables language models to interact with Todoist tasks, projects, sections, labels, comments, and collaborators through the Todoist API.
Install the server via uvx (uvx install mcp-todoist), a cloned repository, or with uv. Configure it in an MCP‑compatible client like Claude Desktop by adding a JSON block with the command, arguments, and your Todoist API token as an environment variable. Once running, the language model can call the provided tools or read the available resources to manage Todoist data.
Python 3.10 or higher, a Todoist account with an API token, and an MCP‑compatible client (such as Claude Desktop).
Log in to your Todoist account, go to Settings > Integrations, and copy the API token from the “API token” section.
Add a JSON entry to Claude Desktop’s MCP Servers Configuration (under Settings > Advanced) with the command and environment variable `TODOIST_API_TOKEN`. You can use `uvx mcp-todoist` or a local Python path.
It provides tools for task management (create, get, update, complete, uncomplete, delete), project management, section management, label management, comment management, and retrieving collaborators for a project.
Resources include `todoist://tasks`, `todoist://projects`, `todoist://labels`, and filtered resources by project, section, or label.

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