TickTick MCP Server

A Model Context Protocol (MCP) server for TickTick that enables interacting with your TickTick task management system directly through Claude and other MCP clients.

Features

• 📋 View all your TickTick projects and tasks
• ✏️ Create new projects and tasks through natural language
• 🔄 Update existing task details (title, content, dates, priority)
• ✅ Mark tasks as complete
• 🗑️ Delete tasks and projects
• 🔄 Full integration with TickTick's open API
• 🔌 Seamless integration with Claude and other MCP clients

Prerequisites

• Python 3.10 or higher
• uv - Fast Python package installer and resolver
• TickTick account with API access
• TickTick API credentials (Client ID and Client Secret from TickTick Developer Center)

Installation

1. Register your application at the TickTick Developer Center

   • Set the redirect URI to http://localhost:19280/callback
   • Note your Client ID and Client Secret

2. Add the MCP server configuration with your credentials:

   {
     "mcpServers": {
       "ticktick": {
         "command": "uvx",
         "args": ["mcp-server-ticktick"],
         "env": {
           "TICKTICK_CLIENT_ID": "your_client_id",
           "TICKTICK_CLIENT_SECRET": "your_client_secret"
         }
       }
     }
   }
   

3. Run authentication to obtain access tokens:

   uvx mcp-server-ticktick auth
   

   This will open a browser for OAuth authorization. Credentials and tokens are saved to ~/.ticktick/config.json.

Note: If you don't configure TICKTICK_CLIENT_ID / TICKTICK_CLIENT_SECRET in the MCP config, the auth command will prompt you to enter them interactively, and they will be saved to ~/.ticktick/config.json.

Authentication with Dida365

滴答清单 - Dida365 is China version of TickTick, and the authentication process is similar to TickTick. Follow these steps to set up Dida365 authentication:

1. Register your application at the Dida365 Developer Center

   • Set the redirect URI to http://localhost:19280/callback
   • Note your Client ID and Client Secret

2. Add the following MCP server configuration with Dida365 environment variables:

   {
     "mcpServers": {
       "ticktick": {
         "command": "uvx",
         "args": ["mcp-server-ticktick"],
         "env": {
           "TICKTICK_CLIENT_ID": "your_client_id",
           "TICKTICK_CLIENT_SECRET": "your_client_secret",
           "TICKTICK_BASE_URL": "https://api.dida365.com/open/v1",
           "TICKTICK_AUTH_URL": "https://dida365.com/oauth/authorize",
           "TICKTICK_TOKEN_URL": "https://dida365.com/oauth/token"
         }
       }
     }
   }
   

3. Follow the same authentication steps as for TickTick

Environment Variables

All environment variables are optional and can be set in your MCP server config's env block. Credentials and tokens are primarily stored in ~/.ticktick/config.json.

Available MCP Tools

Task-specific MCP Tools

Task Retrieval & Search

Date-Based Task Retrieval

Getting Things Done (GTD) Framework

Example Prompts for Claude

Here are some example prompts to use with Claude after connecting the TickTick MCP server:

General

• "Show me all my TickTick projects"
• "Create a new task called 'Finish MCP server documentation' in my work project with high priority"
• "List all tasks in my personal project"
• "Mark the task 'Buy groceries' as complete"
• "Create a new project called 'Vacation Planning' with a blue color"
• "When is my next deadline in TickTick?"

Task Filtering Queries

• "What tasks do I have due today?"
• "Show me everything that's overdue"
• "Show me all tasks due this week"
• "Search for tasks about 'project alpha'"
• "Show me all tasks with 'client' in the title or description"
• "Show me all my high priority tasks"

GTD Workflow

Following David Allen's "Getting Things Done" framework, manage an Engaged and Next actions.

• Engaged will retrieve tasks of high priority, due today or overdue.
• Next will retrieve medium priority or due tomorrow.
• Break down complex actions into smaller actions with batch_creation

For example:

• "Time block the rest of my day from 2-8pm with items from my engaged list"
• "Walk me through my next actions and help my identify what I should focus on tomorrow?"
• "Break down this project into 5 smaller actionable tasks"

Development

Project Structure

mcp-server-ticktick/
├── README.md              # Project documentation
├── requirements.txt       # Project dependencies
├── setup.py               # Package setup file
├── test_server.py         # Test script for server configuration
└── ticktick_mcp/          # Main package
    ├── __init__.py        # Package initialization
    ├── authenticate.py    # OAuth authentication utility
    ├── cli.py             # Command-line interface
    └── src/               # Source code
        ├── __init__.py    # Module initialization
        ├── auth.py        # OAuth authentication implementation
        ├── server.py      # MCP server implementation
        └── ticktick_client.py  # TickTick API client

Authentication Flow

The project implements a complete OAuth 2.0 flow for TickTick:

1. Credential Loading: Client ID and Secret are loaded from env vars (MCP config) or ~/.ticktick/config.json
2. Browser Authorization: User is redirected to TickTick to grant access
3. Token Reception: A local server receives the OAuth callback with the authorization code
4. Token Exchange: The code is exchanged for access and refresh tokens
5. Config Storage: All credentials and tokens are securely stored in ~/.ticktick/config.json (mode 0600)
6. Token Refresh: The client automatically refreshes the access token when it expires

Config loading priority:

• Credentials (client_id, client_secret): MCP env vars → ~/.ticktick/config.json
• Tokens (access_token, refresh_token): ~/.ticktick/config.json → env vars (fallback)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.