Todoist MCP Server

Todoist MCP Server

Enables full management of Todoist accounts, including projects, tasks, sections, and labels, through the Model Context Protocol. It provides a comprehensive set of tools for performing CRUD operations and managing user information via the Todoist API.

Category
访问服务器

README

Todoist MCP Server

A Model Context Protocol (MCP) server for integrating with the Todoist API. This server provides tools to manage projects, tasks, comments, sections, labels, and user information.

Features

  • Projects: Create, read, update, delete, archive, and unarchive projects
  • Tasks: Create, read, update, delete, close, and reopen tasks with support for due dates, priorities, labels, and assignments
  • Comments: Create, read, update, and delete comments on tasks and projects
  • Sections: Create, read, update, and delete sections within projects
  • Labels: Create, read, update, and delete labels
  • User: Get user information

Prerequisites

Installation

  1. Clone or download this repository
  2. Install dependencies:
npm install
  1. Build the project:
npm run build

Note: If you encounter TypeScript errors about fetch or URLSearchParams not being found, this is expected during development. These are built-in to Node.js 18+ and will work correctly at runtime. The errors should resolve after installing dependencies.

Configuration

Set the TODOIST_API_TOKEN environment variable with your Todoist API token:

export TODOIST_API_TOKEN="your-api-token-here"

Or create a .env file (you'll need to install dotenv package if you want to use it):

TODOIST_API_TOKEN=your-api-token-here

Usage

Running the Server

The server communicates via stdio (standard input/output) as per MCP protocol:

npm start

Or for development:

npm run dev

MCP Client Configuration

To use this server with an MCP client (like Claude Desktop, Cursor, etc.), configure it in your MCP settings. Example configuration:

{
  "mcpServers": {
    "todoist": {
      "command": "node",
      "args": ["/path/to/todoist-mcp/dist/index.js"],
      "env": {
        "TODOIST_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

Available Tools

Projects

  • get_projects - Get all active projects (supports pagination)
  • get_project - Get a specific project by ID
  • create_project - Create a new project
  • update_project - Update an existing project
  • delete_project - Delete a project
  • archive_project - Archive a project
  • unarchive_project - Unarchive a project

Tasks

  • get_tasks - Get tasks (supports filtering by project, section, label, and pagination)
  • get_task - Get a specific task by ID
  • create_task - Create a new task
  • update_task - Update an existing task
  • delete_task - Delete a task
  • close_task - Close/complete a task
  • reopen_task - Reopen a completed task

Comments

  • get_comments - Get comments (supports filtering by project/task and pagination)
  • create_comment - Create a comment on a task or project
  • update_comment - Update a comment
  • delete_comment - Delete a comment

Sections

  • get_sections - Get sections (supports filtering by project and pagination)
  • create_section - Create a new section
  • update_section - Update a section
  • delete_section - Delete a section

Labels

  • get_labels - Get all labels (supports pagination)
  • create_label - Create a new label
  • update_label - Update a label
  • delete_label - Delete a label

User

  • get_user - Get current user information

Examples

Creating a Task

{
  "name": "create_task",
  "arguments": {
    "content": "Buy groceries",
    "project_id": "1234567890",
    "due_string": "tomorrow",
    "priority": 2,
    "labels": ["shopping", "personal"]
  }
}

Getting All Projects

{
  "name": "get_projects",
  "arguments": {
    "limit": 50
  }
}

Creating a Project

{
  "name": "create_project",
  "arguments": {
    "name": "My New Project",
    "color": "berry_red",
    "view_style": "board"
  }
}

API Documentation

For detailed API documentation, see the Todoist API v1 Documentation.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选