返回 MCP 目录
public公开dns本地运行

Todoist Claude 任务管理扩展服务器

将克劳德与Todoist集成,用于自然语言任务管理,支持使用日常语言进行项目和部分的组织、任务的创建、更新、完成和删除。

article

README

Todoist MCP Server Extended

smithery badge

An MCP (Model Context Protocol) server implementation that integrates Claude - or any MCP compatible LLM if you're crafty - with Todoist, enabling natural language task management via MCP tools. The tools in this server allows Claude to interact with your Todoist tasks, projects, sections, and labels using everyday language, while also optimized for LLM workflow efficiency.

Todoist Server MCP server

Features Overview

  • Task Management: Create, update, complete, and delete tasks using everyday language
  • Label Management: Create, update, and manage personal labels and task labels
  • Project Management: Create, update, and manage Todoist projects
  • Section Organization: Create and manage sections within projects
  • Smart Search: Find tasks and labels using partial name matches
  • Flexible Filtering: Filter tasks by project, section, due date, priority, and labels
  • Rich Task Details: Support for descriptions, due dates, priority levels, and project/section assignment
  • Batch Operations: Tools have built in batch operation support and custom parameters for efficient usage with LLM workflows

For a complete list of available tools as well as their usage, see tools.md.

Quick Installation Guide

Assuming you already have npm installed.

A more comprehensive installation guide can be found in the How-to Guide.

Installing via Smithery

To install Todoist MCP Server Extended for Claude Desktop via Smithery:

  1. Run following command in cmd\pwsh:
    npx -y @smithery/cli install @Chrusic/todoist-mcp-server-extended --client claude

Also compatible with cline or windsurf, by changing last parameter to --client cline or --client windsurf

Installing via npm

  1. Run following command in cmd\pwsh:
    npm install -g @chrusic/todoist-mcp-server-extended

Setup

Grab a Todoist API Token

  1. Log in to your Todoist account
  2. Navigate to Settings → Integrations
  3. Find your API token under Developer
  4. Press Copy API Token

For more information about the Todoist API, visit the official Todoist API documentation.

Add MCP Server and API Token Claude Desktop Client

  1. In your claude_desktop_config.json file, paste the following json snippet between: "mcpServers":{ }:

    "todoist": {
      "command": "npx",
      "args": ["-y", "@chrusic/todoist-mcp-server-extended"],
      "env": {
          "TODOIST_API_TOKEN": "PASTE-YOUR-API-TOKEN-HERE"
      }
    }
    
  2. When all put together, it should look something like this:

    {
    "mcpServers": {
        "todoist": {
        "command": "npx",
        "args": ["-y", "@chrusic/todoist-mcp-server-extended"],
        "env": {
            "TODOIST_API_TOKEN": "PASTE-YOUR-API-TOKEN-HERE"
        }
        }
    }
    }
    
  3. Claude Desktop client will then start the MCP server and load the tools on the next client (re)start.

Example Usage

Some simple suggestions on what to ask Claude. Note that sometimes you have to be very direct to get claude to use the tools:

  • "Using the MCP tool: todoist_get_tasks, list all my tasks for the day."
  • "Create task 'Review PR' in project 'Work' section 'To Do'"
  • "Add label 'Important' to task 'Review PR'"
  • "Show all tasks with label 'Important' in project 'Work'"
  • "Move task 'Documentation' to section 'In Progress'"
  • "Mark the documentation task as complete"
  • "Give me some suggestions for listed tasks I can do today as I'm going shopping in town."
  • "Break task X down in to smaller subtasks and add due dates, x, y, z."

Contributing

Contributions are welcome! Feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Issues and Support

If you encounter any issues or need support, please file an issue on the GitHub repository.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端