官方说明7 个来源MCP 服务8 天前
ekkyarmandi/ticktick-mcp
🐍 ☁️ - Manage personal TickTick projects and tasks via the TickTick API
在 GitHub 查看 ↗直链 · 无中转页
配置模板（请按你的客户端调整）
claude mcp add ticktick-mcp -- npx -y ticktick-mcp
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 14 ★ · ekkyarmandi/ticktick-mcp · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
- 评分构成
- 综合分 703 · 14 ★ · 7 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
ekkyarmandi/ticktick-mcp；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
TickTick MCP
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A Model Context Protocol (MCP) server that provides tools for integrating TickTick task management tools. Using Python and the MCP SDK.
Overview
This repository contains a Model Context Protocol (MCP) server implementation for TickTick. It provides a standardized way for AI assistants and applications to interact with TickTick's task management functionality, allowing operations like:
- Retrieving projects and tasks
- Creating new projects and tasks
- Updating task details
- Completing and deleting tasks
With this MCP, AI systems can act as task masters to help manage your to-do lists and tasks in TickTick with natural language.
Requirements
- Python 3.8+
- TickTick account
- TickTick API key (via OAuth) # COMMENT: I will add a tool to generate an API key from the TickTick developer portal
Installation
1. Clone this repository
2. Install dependencies
Obtaining a TickTick API Key
This MCP uses TickTick's OpenAPI scheme, which requires registering an app through TickTick's developer portal:
1. Go to the TickTick Developer Documentation
2. Click on Manage Apps in the top right corner and login with your TickTick credentials
3. Register a new app by clicking the +App Name button
4. Enter a name for your app (only required field)
5. Once created, you'll be able to see your Client ID and Client Secret
6. For the OAuth Redirect URL, enter a URL where you'll be redirected after authorization (e.g., http://127.0.0.1:8080)
Authorizing Your App
After registering your app, use the ticktick-py library to get your access token:
After authorizing, the access token will be saved to a .token-oauth file by default. You can extract the token from this file or use:
Configuration
1. Create a .env file in the root directory with your TickTick API key:
Usage
Run the MCP server:
This will start the MCP server on port 8000. You can now connect to it using any MCP client.
Available Tools
The server provides the following tools:
- get_projects: Get a list of all projects
- project_details: Get details of a specific project
- get_task_details: Get details of a specific task
- create_project: Create a new project
- create_task: Create a new task in a project
- update_task: Update an existing task
- complete_task: Mark a task as complete
- delete_task: Delete a task
Example Interactions
Once your MCP server is running, AI systems can help manage your tasks with natural language commands like:
Overview
This repository contains a Model Context Protocol (MCP) server implementation for TickTick. It provides a standardized way for AI assistants and applications to interact with TickTick's task management functionality, allowing operations like:
- Retrieving projects and tasks
- Creating new projects and tasks
- Updating task details
- Completing and deleting tasks
With this MCP, AI systems can act as task masters to help manage your to-do lists and tasks in TickTick with natural language.
Requirements
- Python 3.8+
- TickTick account
- TickTick API key (via OAuth) # COMMENT: I will add a tool to generate an API key from the TickTick developer portal
Installation
1. Clone this repository
2. Install dependencies
Obtaining a TickTick API Key
This MCP uses TickTick's OpenAPI scheme, which requires registering an app through TickTick's developer portal:
1. Go to the TickTick Developer Documentation
2. Click on Manage Apps in the top right corner and login with your TickTick credentials
3. Register a new app by clicking the +App Name button
4. Enter a name for your app (only required field)
5. Once created, you'll be able to see your Client ID and Client Secret
6. For the OAuth Redirect URL, enter a URL where you'll be redirected after authorization (e.g., http://127.0.0.1:8080)
Authorizing Your App
After registering your app, use the ticktick-py library to get your access token:
After authorizing, the access token will be saved to a .token-oauth file by default. You can extract the token from this file or use:
Configuration
1. Create a .env file in the root directory with your TickTick API key:
Usage
Run the MCP server:
This will start the MCP server on port 8000. You can now connect to it using any MCP client.
Available Tools
The server provides the following tools:
- get_projects: Get a list of all projects
- project_details: Get details of a specific project
- get_task_details: Get details of a specific task
- create_project: Create a new project
- create_task: Create a new task in a project
- update_task: Update an existing task
- complete_task: Mark a task as complete
- delete_task: Delete a task
Example Interactions
Once your MCP server is running, AI systems can help manage your tasks with natural language commands like:
- 来源
- awesome · https://github.com/ekkyarmandi/ticktick-mcp
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