What are the requirements for TickTick MCP?
Python 3.8+, a TickTick account, and a TickTick API key obtained via OAuth through the TickTick developer portal.
@ekkyarmandi
Basic information
TickTick MCP for managing your To-Do using AI
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ticktick-mcp-ekkyarmandi": {
"command": "python",
"args": [
"main.py"
]
}
}
}Get a list of all projects
Get details of a specific project
Get details of a specific task
Create a new project
Create a new task in a project
Update an existing task
Mark a task as complete
Delete a task
TickTick MCP is a Model Context Protocol server that provides tools for integrating TickTick task management functionality. It enables AI assistants and applications to manage TickTick tasks and projects using natural language through a standardized interface.
Install dependencies with pip install -r requirements.txt, obtain a TickTick API key via OAuth through the TickTick developer portal, save the access token in a .env file as TICKTICK_API_KEY=your_token, and run python main.py to start the server on port 8000.
Python 3.8+, a TickTick account, and a TickTick API key obtained via OAuth through the TickTick developer portal.
Register an app on the TickTick developer portal, get your Client ID and Client Secret, then use the ticktick-py library's OAuth2 class to authorize and retrieve an access token.
All task and project data lives on TickTick's servers, accessed via the TickTick OpenAPI. The MCP server does not store data locally.
The MCP server runs on port 8000 and uses the Model Context Protocol. It works with any MCP-compatible client such as Claude Desktop or Cursor IDE.
Add new tools in `tools.py` and register them in `main.py` using `mcp.add_tool()`.

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