What are the runtime requirements for Ticktick Mcp?
Python 3.11+ and a TickTick account (free or Pro). For full functionality, both OAuth2 app registration and account credentials are required.
@dev-mirzabicer
基本情報
A fully-featured MCP server for TickTick
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": {
"ticktick": {
"command": "ticktick-sdk",
"env": {
"TICKTICK_CLIENT_ID": "your_client_id",
"TICKTICK_CLIENT_SECRET": "your_client_secret",
"TICKTICK_ACCESS_TOKEN": "your_access_token",
"TICKTICK_USERNAME": "your_email",
"TICKTICK_PASSWORD": "your_password"
}
}
}
}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。
Ticktick Mcp is an MCP (Model Context Protocol) server built on the ticktick-sdk Python library that enables AI assistants like Claude and GPT to manage TickTick tasks programmatically. It provides 45 tools covering task management, project organization, habits, focus/pomodoro, tags, and more, routing operations automatically between TickTick's official V1 API and the undocumented V2 API.
Install via pip install ticktick-sdk with Python 3.11+. Configure authentication by registering an OAuth2 app on the TickTick Developer Portal and creating a .env file with your client ID, secret, redirect URI, access token, username, and password. Run python scripts/get_oauth_token.py for the token, then verify with python -c .... The MCP server can then be invoked through any MCP-compatible host; the library itself exposes 45 tools for AI assistants.
Python 3.11+ and a TickTick account (free or Pro). For full functionality, both OAuth2 app registration and account credentials are required.
It combines the official V1 OAuth2 API and the undocumented V2 session API, automatically routing each operation to the appropriate API based on the feature needed.
All credentials are stored locally in a `.env` file. Data is accessed via TickTick’s APIs; the server does not store data externally.
The README does not specify the transport protocol beyond MCP compatibility; it is designed to work with MCP-compatible AI assistants.
It is the only library that includes an MCP server, provides async support with Pydantic v2, full habit CRUD, focus/pomodoro access, and automatic V1/V2 routing.

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