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
基本信息
A fully-featured MCP server for TickTick
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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