ticktick-mcp

MCP.Pizza Chef: jacepark12

TickTick MCP Server is a Model Context Protocol server that integrates with the TickTick task management system via its open API. It allows users to view, create, update, complete, and delete tasks and projects using natural language commands through MCP clients like Claude. This server requires Python 3.10+, TickTick API credentials, and supports seamless interaction with TickTick's full task management features.

Use This MCP server To

View all TickTick projects and tasks via natural language Create new TickTick tasks and projects using conversational commands Update task details such as title, content, dates, and priority Mark TickTick tasks as complete through MCP clients Delete tasks and projects from TickTick using natural language Integrate TickTick task management into AI workflows with Claude Automate task updates and management via MCP-enabled applications

README

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

  • πŸ“‹ View all your TickTick projects and tasks
  • ✏️ Create new projects and tasks through natural language
  • πŸ”„ Update existing task details (title, content, dates, priority)
  • βœ… Mark tasks as complete
  • πŸ—‘οΈ Delete tasks and projects
  • πŸ”„ Full integration with TickTick's open API
  • πŸ”Œ 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, Client Secret, Access Token)

Installation

  1. Clone this repository:

    git clone https://github.com/jacepark12/ticktick-mcp.git
    cd ticktick-mcp
  2. Install with uv:

    # Install uv if you don't have it already
    curl -LsSf https://astral.sh/uv/install.sh | sh
    
    # Create a virtual environment
    uv venv
    
    # Activate the virtual environment
    # On macOS/Linux:
    source .venv/bin/activate
    # On Windows:
    .venv\Scripts\activate
    
    # Install the package
    uv pip install -e .
  3. Authenticate with TickTick:

    # Run the authentication flow
    uv run -m ticktick_mcp.cli auth

    This will:

    • Ask for your TickTick Client ID and Client Secret
    • Open a browser window for you to log in to TickTick
    • Automatically save your access tokens to a .env file
  4. Test your configuration:

    uv run test_server.py

    This will verify that your TickTick credentials are working correctly.

Authentication with TickTick

This server uses OAuth2 to authenticate with TickTick. The setup process is straightforward:

  1. Register your application at the TickTick Developer Center

    • Set the redirect URI to http://localhost:8000/callback
    • Note your Client ID and Client Secret
  2. Run the authentication command:

    uv run -m ticktick_mcp.cli auth
  3. Follow the prompts to enter your Client ID and Client Secret

  4. A browser window will open for you to authorize the application with your TickTick account

  5. After authorizing, you'll be redirected back to the application, and your access tokens will be automatically saved to the .env file

The server handles token refresh automatically, so you won't need to reauthenticate unless you revoke access or delete your .env file.

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:8000/callback
    • Note your Client ID and Client Secret
  2. Add environment variables to your .env file:

    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

Usage with Claude for Desktop

  1. Install Claude for Desktop

  2. Edit your Claude for Desktop configuration file:

    macOS:

    nano ~/Library/Application\ Support/Claude/claude_desktop_config.json

    Windows:

    notepad %APPDATA%\Claude\claude_desktop_config.json
  3. Add the TickTick MCP server configuration, using absolute paths:

    {
       "mcpServers": {
          "ticktick": {
             "command": "<absolute path to uv>",
             "args": ["run", "--directory", "<absolute path to ticktick-mcp directory>", "-m", "ticktick_mcp.cli", "run"]
          }
       }
    }
  4. Restart Claude for Desktop

Once connected, you'll see the TickTick MCP server tools available in Claude, indicated by the πŸ”¨ (tools) icon.

Available MCP Tools

Tool Description Parameters
get_projects List all your TickTick projects None
get_project Get details about a specific project project_id
get_project_tasks List all tasks in a project project_id
get_task Get details about a specific task project_id, task_id
create_task Create a new task title, project_id, content (optional), start_date (optional), due_date (optional), priority (optional)
update_task Update an existing task task_id, project_id, title (optional), content (optional), start_date (optional), due_date (optional), priority (optional)
complete_task Mark a task as complete project_id, task_id
delete_task Delete a task project_id, task_id
create_project Create a new project name, color (optional), view_mode (optional)
delete_project Delete a project project_id

Example Prompts for Claude

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

  • "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?"

Development

Project Structure

ticktick-mcp/
β”œβ”€β”€ .env.template          # Template for environment variables
β”œβ”€β”€ README.md              # Project documentation
β”œβ”€β”€ requirements.txt       # Project dependencies
β”œβ”€β”€ setup.py               # Package setup file
β”œβ”€β”€ test_server.py         # Test script for server configuration
└── ticktick_mcp/          # Main package
    β”œβ”€β”€ __init__.py        # Package initialization
    β”œβ”€β”€ authenticate.py    # OAuth authentication utility
    β”œβ”€β”€ cli.py             # Command-line interface
    └── src/               # Source code
        β”œβ”€β”€ __init__.py    # Module initialization
        β”œβ”€β”€ auth.py        # OAuth authentication implementation
        β”œβ”€β”€ 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. Initial Setup: User provides their TickTick API Client ID and Secret
  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. Token Storage: Tokens are securely stored in the local .env file
  6. Token Refresh: The client automatically refreshes the access token when it expires

This simplifies the user experience by handling the entire OAuth flow programmatically.

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.

ticktick-mcp FAQ

How do I authenticate the TickTick MCP server?
You need TickTick API credentials including Client ID, Client Secret, and Access Token to authenticate the server.
What are the prerequisites for running the TickTick MCP server?
Python 3.10 or higher and the 'uv' Python package installer are required.
Can I use the TickTick MCP server with multiple MCP clients?
Yes, it supports seamless integration with Claude and other MCP clients.
How does the TickTick MCP server handle task updates?
It allows updating task details like title, content, dates, and priority via natural language commands.
Is it possible to delete tasks and projects using this MCP server?
Yes, you can delete both tasks and projects through natural language instructions.
Does the TickTick MCP server support creating new projects?
Yes, you can create new projects and tasks using natural language commands.
What programming language is the TickTick MCP server built with?
The server is built using Python 3.10 or higher.
How do I install the TickTick MCP server?
Clone the GitHub repository and install dependencies using the 'uv' package installer as described in the README.