Todo for AI

v1.0.0Business Applicationsstable

🤖 A comprehensive task management system specifically designed for AI assistants. Supports project management, task tracking, team collaboration, and seamless AI integration through MCP (Model Context Protocol). Built with modern tech stack including

ai-coding-toolscursorkirotodo4aitrae
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What is Todo for AI?

Todo for AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🤖 a comprehensive task management system specifically designed for ai assistants. supports project management, task tracking, team collaboration, and seamless ai integration through mcp (model contex...

🤖 A comprehensive task management system specifically designed for AI assistants. Supports project management, task tracking, team collaboration, and seamless AI integration through MCP (Model Context Protocol). Built with modern tech stack including

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • 🤖 A comprehensive task management system specifically design

Use Cases

Manage projects and tasks with AI assistant integration.
Enable team collaboration in AI-powered workflows.
Support AI coding tools like Cursor and Windsurf.
todo-for-ai

Maintainer

LicenseApache-2.0
Languageshell
Versionv1.0.0
UpdatedMay 14, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx todo-for-ai

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Todo for AI

Todo for AI is a task management system purpose-built for AI assistants, providing a full project and task lifecycle (create, update, track, complete) that AI agents can manipulate through natural language via MCP. It supports team collaboration, GitHub OAuth authentication, email notifications, and a REST API that AI coding tools like Claude Code, Cursor, Kiro, Trae, and Windsurf can all connect to simultaneously. Unlike generic to-do apps, Todo for AI is designed so that AI agents — not just humans — are first-class actors in the workflow, enabling autonomous task delegation and progress tracking across multi-agent pipelines.

Prerequisites

  • Docker and Docker Compose (recommended deployment method)
  • A MySQL 8.0+ database accessible at a known connection string
  • GitHub OAuth app credentials (Client ID and Secret) for authentication
  • An MCP-capable client such as Claude Desktop, Cursor, Windsurf, or Kiro
  • A Todo for AI API key (generated after server deployment and login)
1

Deploy the Todo for AI server with Docker

Run the official Docker image, binding the web UI on port 50111 and the API on port 50110. Provide your MySQL connection string via the DATABASE_URL environment variable.

docker run -d --name todo-for-ai \
  -p 50111:80 \
  -p 50110:50110 \
  -e DATABASE_URL="mysql+pymysql://username:[email protected]:3306/todo_for_ai" \
  todoforai/todo-for-ai:latest
2

Install the MCP package

Install the official MCP package globally so it can be referenced from your MCP client config.

npm install -g @todo-for-ai/mcp
3

Log in and generate an API key

Open the web UI at http://localhost:50111/todo-for-ai/pages/projects, sign in with GitHub OAuth, then navigate to your profile settings to generate a TODO_API_KEY for use by the MCP server.

4

Add the server to your MCP client config

Configure your MCP client to connect to the Todo for AI MCP server. Provide TODO_API_URL pointing to your running instance and your TODO_API_KEY for authentication.

{
  "mcpServers": {
    "todo-for-ai": {
      "command": "npx",
      "args": ["todo-for-ai"],
      "env": {
        "TODO_API_URL": "http://localhost:50110/todo-for-ai/api/v1/",
        "TODO_API_KEY": "your-api-key-here"
      }
    }
  }
}
5

Restart your client and create your first project

Restart Claude Desktop or reload your IDE's MCP extension. Ask the AI assistant to create a project and add tasks to it — the assistant will call the MCP tools to manage your task list in real time.

Todo for AI Examples

Client configuration

Claude Desktop config entry for the Todo for AI MCP server connecting to a local instance.

{
  "mcpServers": {
    "todo-for-ai": {
      "command": "npx",
      "args": ["todo-for-ai"],
      "env": {
        "TODO_API_URL": "http://localhost:50110/todo-for-ai/api/v1/",
        "TODO_API_KEY": "your-api-key-here"
      }
    }
  }
}

Prompts to try

Example prompts for creating projects, managing tasks, and tracking progress through the AI assistant.

- "Create a new project called 'Website Redesign' and add three initial tasks for discovery, wireframes, and implementation"
- "List all my pending tasks and sort them by due date"
- "Mark the 'Design homepage mockup' task as completed"
- "Show me the overall progress for the Website Redesign project this week"
- "Add a task 'Write unit tests for the auth module' to the Backend project and assign it high priority"

Troubleshooting Todo for AI

MCP server returns 401 Unauthorized errors

Verify that TODO_API_KEY in your MCP config matches the key generated from the web interface. Keys are per-user; regenerate one from your profile settings page at http://localhost:50111 if needed.

Docker container fails to start with database connection errors

Ensure your MySQL 8.0+ instance is running and accessible from the Docker container. On macOS/Windows, use 'host.docker.internal' instead of 'localhost' in DATABASE_URL. Verify the database 'todo_for_ai' exists and the user has full privileges.

GitHub OAuth login fails or redirects incorrectly

Check that GITHUB_CLIENT_ID and GITHUB_CLIENT_SECRET are set correctly and that your GitHub OAuth app's callback URL matches the server's address. For local development, set the callback URL to http://localhost:50111/todo-for-ai/auth/github/callback.

Frequently Asked Questions about Todo for AI

What is Todo for AI?

Todo for AI is a Model Context Protocol (MCP) server that 🤖 a comprehensive task management system specifically designed for ai assistants. supports project management, task tracking, team collaboration, and seamless ai integration through mcp (model context protocol). built with modern tech stack including It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Todo for AI?

Follow the installation instructions on the Todo for AI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Todo for AI?

Todo for AI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Todo for AI free to use?

Yes, Todo for AI is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "todo-for-ai": { "command": "npx", "args": ["-y", "todo-for-ai"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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