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ticktick-mcp

TickTick MCP server integrates with TickTick's API to manage personal todo projects and tasks through MCP.

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Websitegithub.com
PublishedMay 14, 2025

Categories

1 Item
Project Management Mcp Servers

Tags

4 Items
#mcp
#task-management
#api-integration
#open-source

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ticktick-mcp

GitHub Repository

TickTick MCP is an open-source Model Context Protocol (MCP) server that integrates with TickTick's API, allowing AI assistants and applications to manage personal to-do projects and tasks through standardized MCP tools.


Features

  • Integration with TickTick: Connects to TickTick's task management platform using its OpenAPI and OAuth2 authentication.
  • MCP Protocol Support: Implements a Model Context Protocol (MCP) server for AI-driven task management.
  • Task and Project Operations:
    • Retrieve all projects (get_projects)
    • Get details of a specific project (project_details)
    • Get details of a specific task (get_task_details)
    • Create new projects (create_project)
    • Create new tasks in a project (create_task)
    • Update existing tasks (update_task)
    • Mark tasks as complete (complete_task)
    • Delete tasks (delete_task)
  • Natural Language Support: Enables AI systems to manage tasks using natural language commands.
  • MCP Client Compatibility: Can be used with any MCP-compatible client (e.g., Claude Desktop, Cursor IDE, or custom MCP SDK-based applications).
  • Python-based Implementation: Built with Python 3.8+ and uses the MCP SDK.
  • Open Source: Licensed under the MIT License.

Requirements

  • Python 3.8+
  • TickTick account
  • TickTick API key obtained via OAuth2 (instructions provided in the repository)

Installation & Usage

  1. Clone the repository and install dependencies with pip install -r requirements.txt.
  2. Register an application in the TickTick Developer Portal to obtain API credentials.
  3. Use the ticktick-py library to authorize and obtain an access token.
  4. Create a .env file with your TickTick API key.
  5. Start the MCP server with python main.py.

Pricing

  • Free and open-source (MIT license)

Tags

mcp task-management api-integration open-source