TickTick FAQs

Question 1

How do I get started with mcp-ticktick?

Accepted Answer

To begin, install the tool via pip (`pip install mcp-ticktick`). Then, you'll need to configure your chosen AI client or environment by providing your TickTick OAuth access token and optionally a v2 session cookie for advanced features, as detailed in the setup instructions for each client.

Question 2

Can I manage my TickTick habits and focus timers through AI?

Accepted Answer

Yes, absolutely! You can use AI to check in on your habits, track streaks, query habit logs, and manage your focus timer sessions, statistics, and records, all directly through natural language commands to your integrated AI.

Question 3

What is mcp-ticktick?

Accepted Answer

mcp-ticktick is a Model Context Protocol server that enables seamless integration of all your TickTick task management and productivity features directly into large language models (LLMs). This allows AI to interact with and manage your TickTick data.

Question 4

Which AI clients and environments are compatible with mcp-ticktick?

Accepted Answer

The integration supports multiple popular AI clients and development environments such as Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, and GitHub Copilot, providing flexible options for incorporating TickTick into your AI workflow.

Question 5

What TickTick features can I control using my AI?

Accepted Answer

You can access and manage a comprehensive range of TickTick features, including tasks, projects, tags, folders, habits, focus timers, filters, and even connected calendar events. Full CRUD (Create, Read, Update, Delete) operations are supported for most entities.

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