
ticktick-mcpTickTick MCP for managing your To-Do using AI
Overview
Key features
- get_projects
- project_details
- get_task_details
- create_project
- create_task
- update_task
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Task Management with AI
AI systems can help manage tasks with natural language commands like 'Show me all my projects' or 'Create a new project called 'Home Renovation''.
Integration with MCP Clients
The server can be used with any MCP-compatible client, such as Claude Desktop or Cursor IDE.
Pros & Cons
Pros
- Enables natural language task management in TickTick
- Provides a standardized way for AI assistants to interact with TickTick
- Supports various task management operations
Cons
- Requires TickTick API key via OAuth
- Needs Python 3.8+ and specific dependencies
Reviews
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Q&A
What OAuth steps are required to get the TickTick API key?
Register an app in the TickTick developer portal to receive a client ID and secret, set a redirect URL (e.g., http://127.0.0.1:8080), then use the ticktick.oauth2 library to launch a browser flow and obtain an access token, which is saved to a .token file and placed in your .env as TICKTICK_API_KEY.
Asked by Damian Wysocki · Jun 21, 2025
How does TickTick MCP let an AI assistant manage my tasks?
The MCP server exposes standardized endpoints for operations like get_projects, create_task, update_task, complete_task, and delete_task. AI assistants can call these endpoints using natural‑language prompts, which the server translates into TickTick API calls.
Asked by Ismael Rios · Jun 20, 2025
What do I need to run TickTick MCP locally?
You need Python 3.8 or newer, a TickTick account, and an API key obtained via OAuth. After cloning the repo, install the listed dependencies with pip install -r requirements.txt and create a .env file containing TICKTICK_API_KEY=your_access_token.
Asked by Rasheed Osman · May 11, 2025
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