TickTick MCP Server

A Model Context Protocol (MCP) server for TickTick task management. This enables AI assistants like Claude to interact with your TickTick tasks.

Features

Project Management

• 📁 Get Projects - List all your TickTick projects/lists
• 📁 Get Project by ID - Get specific project details
• 📁 Get Project with Data - Get project with all tasks and kanban columns
• ➕ Create Project - Create new projects with custom colors and view modes
• ✏️ Update Project - Modify project settings
• 🗑️ Delete Project - Remove projects

Task Queries

• ✅ Get Tasks - Retrieve tasks from all projects or a specific one
• 📅 Today's Tasks - Get tasks due today
• ⚠️ Overdue Tasks - Get tasks past their due date
• 🎯 Priority Filter - Get high/medium priority tasks
• 🏷️ Filter by Tag - Get tasks with specific tags
• 🏷️ Get All Tags - List all unique tags

Task Management

• ➕ Create Tasks - Add new tasks with title, priority, due date
• ➕ Create with Subtasks - Add tasks with checklist items
• ➕ Add Subtask - Add subtask to existing task
• ✔️ Complete Tasks - Mark tasks as done
• ✏️ Update Tasks - Modify existing tasks
• 🗑️ Delete Tasks - Remove tasks

Installation

Option 1: pip install (recommended)

pip install ticktick-mcp

Option 2: From source

git clone https://github.com/ainishanov/ticktick-mcp.git
cd ticktick-mcp
pip install -e .

Setup

1. Get TickTick API Access Token

1. Go to TickTick Developer Portal
2. Create a new application
3. Complete OAuth2 flow to get your access token
4. Copy the access token

2. Configure Environment

Create a .env file in the project directory:

cp .env.example .env

Edit .env and add your token:

TICKTICK_ACCESS_TOKEN=your_access_token_here

3. Configure Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "ticktick": {
      "command": "python",
      "args": ["-m", "ticktick_mcp.server"],
      "env": {
        "TICKTICK_ACCESS_TOKEN": "your_access_token_here"
      }
    }
  }
}

Or if installed from source:

{
  "mcpServers": {
    "ticktick": {
      "command": "python",
      "args": ["-m", "ticktick_mcp.server"],
      "cwd": "/path/to/ticktick-mcp/src",
      "env": {
        "TICKTICK_ACCESS_TOKEN": "your_access_token_here"
      }
    }
  }
}

Claude Code (CLI)

Add to ~/.mcp.json (macOS/Linux) or %USERPROFILE%\.mcp.json (Windows):

{
  "mcpServers": {
    "ticktick": {
      "type": "stdio",
      "command": "python",
      "args": ["-m", "ticktick_mcp.server"],
      "cwd": "/path/to/ticktick-mcp/src",
      "env": {
        "TICKTICK_ACCESS_TOKEN": "your_access_token_here"
      }
    }
  }
}

4. Restart Claude Desktop

After configuration, restart Claude Desktop to load the MCP server.

Usage Examples

Once configured, you can ask Claude:

• "What tasks do I have today?"
• "Show me all high priority tasks"
• "Create a task 'Review PR #123' with high priority due tomorrow"
• "Mark task ID xxx in project yyy as complete"
• "What projects do I have in TickTick?"

Available Tools

Project Tools

Tool	Description
get_projects	List all TickTick projects
get_project_by_id	Get specific project by ID
get_project_with_data	Get project with tasks and columns
create_project	Create a new project
update_project	Update project settings
delete_project	Delete a project

Task Query Tools

Tool	Description
get_tasks	Get tasks (all or by project)
get_today_tasks	Get tasks due today
get_overdue_tasks	Get tasks past due date
get_high_priority_tasks	Get high/medium priority tasks
get_tasks_by_tag	Get tasks by tag
get_all_tags	List all unique tags

Task Management Tools

Tool	Description
create_task	Create a new task
create_task_with_subtasks	Create task with checklist
add_subtask	Add subtask to existing task
complete_task	Mark task as complete
update_task	Update task details
delete_task	Delete a task

Priority Levels

Value	Level	Emoji
0	None	⚪
1	Low	🔵
3	Medium	🟡
5	High	🔴

Development

# Clone repo
git clone https://github.com/ainishanov/ticktick-mcp.git
cd ticktick-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # or `venv\Scripts\activate` on Windows

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Lint
ruff check .

OAuth2 Token Generation

If you need to generate an access token programmatically, here's a helper script:

import httpx

CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"
REDIRECT_URI = "http://localhost:8080/callback"

# Step 1: Get authorization URL
auth_url = f"https://ticktick.com/oauth/authorize?client_id={CLIENT_ID}&redirect_uri={REDIRECT_URI}&response_type=code&scope=tasks:read tasks:write"
print(f"Open this URL in browser:\n{auth_url}")

# Step 2: After redirect, exchange code for token
code = input("Enter the code from redirect URL: ")

response = httpx.post(
    "https://ticktick.com/oauth/token",
    data={
        "client_id": CLIENT_ID,
        "client_secret": CLIENT_SECRET,
        "code": code,
        "grant_type": "authorization_code",
        "redirect_uri": REDIRECT_URI,
    },
)

print(response.json())
# Save the access_token to your .env file

Contributing

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

License

MIT License - see LICENSE file for details.

Acknowledgments

• Model Context Protocol by Anthropic
• TickTick for their API