Todo for AI
Task management platform designed for AI assistants to track projects and execute tasks via Model Context Protocol.
Connect AI agents like Claude and Cursor directly to your project tracking software and team task workflows.
todo-for-ai is an open-source task management platform built specifically for AI agents and human teams to work together. It uses the Model Context Protocol (MCP) to let AI assistants create, update, and manage tasks directly inside your workflows. You should use it if you want to grant your local AI tools direct access to project state and task queues.
What it is
The system combines a Flask API backend, a React web interface, and an MCP server node package to manage project items. AI agents read task contexts, prioritize backlog entries, and update statuses automatically as work completes. You can manage access via API keys, link GitHub OAuth, and trigger automated end-to-end task validation scripts.
Who it's for
This tool suits software developers, project leads, and teams building workflows with MCP-compatible assistants like Claude Desktop or Cursor. It is not suitable for non-technical users who want a simple drag-and-drop web app without configuring servers or database connections.
Key features
Model Context Protocol Integration
Exposes project data and task controls to AI tools using standard MCP client configurations.
Real Time Task Synchronization
Allows AI assistants to autonomously create, re-prioritize, and complete tasks based on context.
Modular Git Submodule Architecture
Separates the system into dedicated repositories for the API server, webpage dashboard, and MCP server.
Automated Runtime Validation Scripts
Includes scripts to verify task execution and completion directly within local container environments.
Up and running in 3 steps
Our honest verdict
What's great
- Native support for Model Context Protocol (MCP) clients like Claude Desktop, Windsurf, and Cursor.
- Pre-configured Docker container options containing both the Flask API server and web dashboard.
- Includes end-to-end local validation scripts to test automated task completions.
- Offers granular REST API endpoints and npm packages for custom agent integrations.
Where it falls short
- Requires maintaining an external MySQL database instance and setting up container environment variables.
- Multi-tier architecture requires technical knowledge across Python, Node.js, Docker, and Git submodules.
- Initial configuration demands manual creation of API keys, JWT secrets, and optional OAuth credentials.
Pricing & license
todo-for-ai is free under the Apache-2.0 license. You can test the interface for free on their hosted preview site, but deploying your own instance requires covering your own server and MySQL hosting costs.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
How do you connect Claude Desktop to todo-for-ai?
You add the @todo-for-ai/mcp command into your mcpServers JSON configuration file along with your local API URL and key.
Does todo-for-ai require a database?
Yes, the backend API requires a running MySQL database host passed via the DATABASE_URL environment variable.
