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jen6/ticktick-mcp

开发工具

本页由 AI 翻译,技术细节请以原文为准。 查看原文

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jen6/ticktick-mcp 是从 https://github.com/jen6/ticktick-mcp. 导入的 MCP 服务器候选

概览

jen6/ticktick-mcp 是从 https://github.com/jen6/ticktick-mcp. 导入的 MCP 服务器候选

概述(AI 翻译)

通过这台MCP服务器提升您的TickTick工作流程。基于ticktick-py库,它提供了显著提升的过滤功能,使AI助手和兼容MCP的应用程序(如Claude Desktop、VS Code Agent Mode或mcp-use)能够更精准、更高效地与您的任务交互。

✨ 特色

该服务器通过MCP工具提供对TickTick功能的全面访问,分类如下:

  • 任务管理: 创建、更新(包括转换为 TickTick 的日期格式)、删除、完成和移动任务。
  • 子任务管理: 通过链接现有任务创建子任务。
  • 任务检索:
  • 完成所有未完成任务。
  • 按ID或特定字段获取任务。
  • 在特定日期范围内完成任务。
  • 从特定项目中获得任务。
  • 根据各种关键(优先级、项目、标签等)筛选任务。
  • 项目/标签管理: 检索所有项目、标签和项目文件夹。
  • 辅助工具: 将日期时间字符串转换为所需的 TickTick 格式。

请参阅 src/ticktick_mcp/tools/ 目录中的工具定义以获取详细规格。

🚀 开始

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

TickTick MCP Server

Enhance your TickTick workflow with this MCP server. Built upon the ticktick-py library, it offers significantly improved filtering capabilities, allowing AI assistants and MCP-compatible applications (like Claude Desktop, VS Code Agent Mode, or mcp-use) to interact with your tasks with greater precision and power.

✨ Features

This server provides comprehensive access to TickTick functionalities via MCP tools, categorized as follows:

  • Task Management: Create, update (including conversion to TickTick’s date format), delete, complete, and move tasks.
  • Subtask Management: Create subtasks by linking existing tasks.
  • Task Retrieval:
    • Get all uncompleted tasks.
    • Get tasks by ID or specific fields.
    • Get completed tasks within a date range.
    • Get tasks from a specific project.
    • Filter tasks based on various critggeria (priority, project, tags, etc.).
  • Project/Tag Management: Retrieve all projects, tags, and project folders.
  • Helper Tools: Convert datetime strings to the required TickTick format.

Refer to the tool definitions within the src/ticktick_mcp/tools/ directory for detailed specifications.

🚀 Getting Started

This server utilizes the unofficial ticktick-py library to interact with the TickTick API.

Prerequisites

  • Python >= 3.10
  • Access to TickTick and API credentials (see below).

Setup

  1. Register a TickTick Application: Before using the server, you need to register an application with TickTick to obtain API credentials. Follow these steps based on the ticktick-py documentation:

    • Go to the TickTick OpenAPI Documentation and log in with your TickTick account.
    • Click on Manage Apps in the top right corner.
    • Register a new app by clicking the +App Name button. Provide a name for your application (e.g., “MCP Server”).
    • Once created, edit the app details. Note down the generated Client ID and Client Secret.
    • For the OAuth Redirect URL, enter a URL where you want to be redirected after authorizing the application. It doesn’t need to be a live URL
      • http://localhost:8080/redirect or http://127.0.0.1:8080/ are common choices for local development.
      • Ensure this exact URL is saved in your environment variables.
  2. Environment Variables: The server requires the TickTick API credentials you just obtained, plus your TickTick login details. By default, it looks for a .env file located at ~/.config/ticktick-mcp/.env.

在 GitHub 查看完整 README

安装

uvx --from git+https://github.com/jen6/ticktick-mcp.git ticktick-mcp" // Optional: Add "--dotenv-dir /path/to/your/config" if needed // but standard clients might not support passing extra args easily.
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "ticktick": { "command": "uvx", "args": [ "--from", "git+https://github.com/jen6/ticktick-mcp.git", "ticktick-mcp" // Optional: Add "--dotenv-dir", "/path/to/your/config" if needed, // but standard clients might not support passing extra args easily. ] } } }