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Todoist MCP Server

@stanislavlysenko0912

关于 Todoist MCP Server

Full implementation of Todoist Rest API & support Todoist Sync API for MCP server

基本信息

分类

生产力

许可证

MIT

运行时

node

传输方式

stdio

发布者

stanislavlysenko0912

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "todoist": {
      "command": "npx",
      "args": [
        "-y",
        "todoist-mcp"
      ],
      "env": {
        "API_KEY": "your_todoist_api_token_here"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Todoist MCP Server?

A Model Context Protocol (MCP) server implementation that integrates Claude and other AI assistants with Todoist, enabling natural language task management.

How to use Todoist MCP Server?

Obtain a Todoist API token from Settings → Integrations. Configure the server in your platform’s mcpServers object with the command npx -y todoist-mcp and the API_KEY environment variable. Platform config locations are provided for Claude Desktop, Claude Code, Cursor, Codex, and Gemini CLI.

Key features of Todoist MCP Server

  • Complete Todoist REST API v2 and Sync API integration
  • Batch processing multiple tasks in one request
  • Search tasks, projects, labels by name
  • Create, update, close, reopen, move, and delete tasks
  • Manage projects, sections, comments, and labels
  • Smart context provides projects and labels on startup

Use cases of Todoist MCP Server

  • Retrieve and filter tasks using natural language (e.g., “What tasks do I have due today?”)
  • Create tasks with due dates, priorities, and labels conversationally
  • Manage projects and sections without manual clicks
  • Add and manage comments on tasks and projects
  • Reorganize tasks by moving or marking them complete

FAQ from Todoist MCP Server

What do I need to get started?

You need a Todoist API token, which can be found in Todoist Settings → Integrations.

How do I configure for Claude Desktop?

Add the server configuration to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\ (Windows).

Does it support batch operations?

Yes, the server supports batch processing, allowing multiple tasks to be handled in a single request.

Can the AI search tasks by name?

Yes, tasks, projects, and labels can be searched by name instead of requiring IDs.

What transport does the server use?

The server uses the stdio transport, as shown in the npx command and --transport stdio example for Claude Code.

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