ticktick-mcp
Provides tools for interacting with the TickTick API, enabling AI agents to manage projects, tasks, subtasks, and tags in TickTick.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ticktick-mcpshow my tasks due today"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TickTick MCP Server
Connect AI assistants to TickTick.
TickTick MCP is a Model Context Protocol (MCP) server for TickTick. It lets Claude and other MCP clients read projects, find tasks, create tasks, and complete work from chat.
What You Can Do
Ask what is due today.
Find overdue or high-priority tasks.
Create tasks and checklist items.
Update, complete, or delete tasks.
Manage TickTick projects.
Related MCP server: ticktick-mcp-server
Features
Project Management
π Get Projects - List all your TickTick projects/lists
π Get Project by ID - Get specific project details
π Get Project with Data - Get project with all tasks and kanban columns
β Create Project - Create new projects with custom colors and view modes
βοΈ Update Project - Modify project settings
ποΈ Delete Project - Remove projects
Task Queries
β Get Tasks - Retrieve tasks from all projects or a specific one
π Today's Tasks - Get tasks due today
β οΈ Overdue Tasks - Get tasks past their due date
π― Priority Filter - Get high/medium priority tasks
π·οΈ Filter by Tag - Get tasks with specific tags
π·οΈ Get All Tags - List all unique tags
Task Management
β Create Tasks - Add new tasks with title, priority, due date
β Create with Subtasks - Add tasks with checklist items
β Add Subtask - Add subtask to existing task
βοΈ Complete Tasks - Mark tasks as done
βοΈ Update Tasks - Modify existing tasks
ποΈ Delete Tasks - Remove tasks
Installation
Option 1: pip install (recommended)
pip install ticktick-mcpOption 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
Create a new application
Complete OAuth2 flow to get your access token
Copy the access token
2. Configure Environment
Create a .env file in the project directory:
cp .env.example .envEdit .env and add your token:
TICKTICK_ACCESS_TOKEN=your_access_token_here3. Configure MCP clients
pip install adds ticktick-mcp to your Python environment, so cwd is typically not required.
For source checkouts, set cwd to /path/to/ticktick-mcp/src so Python can import ticktick_mcp from the local source tree.
3a. Claude Desktop
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\Claude Desktop\claude_desktop_config.json
{
"mcpServers": {
"ticktick": {
"command": "python",
"args": ["-m", "ticktick_mcp.server"],
"env": {
"TICKTICK_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}If you run 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"
}
}
}
}3b. 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"],
"env": {
"TICKTICK_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}From source:
{
"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"
}
}
}
}3c. Cursor
Add a new MCP entry to Cursorβs config (often ~/.cursor/mcp.json):
{
"mcpServers": {
"ticktick": {
"command": "python",
"args": ["-m", "ticktick_mcp.server"],
"env": {
"TICKTICK_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}3d. Continue
Add to Continueβs MCP config file (for example, ~/.continue/config.json):
{
"mcpServers": {
"ticktick": {
"command": "python",
"args": ["-m", "ticktick_mcp.server"],
"cwd": "/path/to/ticktick-mcp/src",
"env": {
"TICKTICK_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}3e. Generic stdio-compatible MCP config
Most MCP clients accept a similar shape. Use the same block format and place it in your clientβs MCP server configuration area:
{
"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 your MCP client
After configuration, restart the MCP client to load the server.
If the tools do not appear or the server reports an auth error, see Troubleshooting.
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 |
| List all TickTick projects |
| Get specific project by ID |
| Get project with tasks and columns |
| Create a new project |
| Update project settings |
| Delete a project |
Task Query Tools
Tool | Description |
| Get tasks (all or by project) |
| Get tasks due today |
| Get tasks past due date |
| Get high/medium priority tasks |
| Get tasks by tag |
| List all unique tags |
Task Management Tools
Tool | Description |
| Create a new task |
| Create task with checklist |
| Add subtask to existing task |
| Mark task as complete |
| Update task details |
| Delete a task |
Priority Levels
Value | Level | Emoji |
0 | None | βͺ |
1 | Low | π΅ |
3 | Medium | π‘ |
5 | High | π΄ |
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 fileContributing
Contributions are welcome. Start with CONTRIBUTING.md and avoid committing access tokens, OAuth secrets, .env files, or private task data.
Good first contributions are small tests, docs improvements, focused error-message improvements, or mocked TickTick API fixtures.
Security
Do not open public issues with credentials or private task data. See SECURITY.md.
License
MIT License - see LICENSE file for details.
Acknowledgments
Model Context Protocol by Anthropic
TickTick for their API
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