todo-mcp-server

todo-mcp-server

Enables Gemini CLI and other AI assistants to manage todos (create, read, update, delete, filter) through natural language commands via the Model Context Protocol.

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README

Todo List App with FastAPI and MCP Integration

A complete todo list application with a modern web interface, REST API built with FastAPI, and Model Context Protocol (MCP) integration for Gemini CLI.

Features

Backend API

  • Create, read, update, and delete todos
  • Mark todos as completed or pending
  • Filter todos by completion status
  • Automatic API documentation with Swagger UI
  • RESTful API endpoints

Frontend Interface

  • Modern, responsive web interface
  • Interactive todo management
  • Real-time statistics
  • Filter todos by status (All, Pending, Completed)
  • Edit and delete todos with confirmation
  • Beautiful gradient design with animations
  • Mobile-friendly responsive layout

MCP Integration

  • Model Context Protocol (MCP) server for AI assistant integration
  • Gemini CLI support - Control your todos through natural language
  • FastMCP framework for seamless AI integration
  • Complete tool set for todo management via AI
  • Natural language interface for todo operations

Setup

Basic Setup

  1. Activate the virtual environment:

    source venv/bin/activate
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Run the application:

    python main.py
    

    Or alternatively:

    uvicorn main:app --reload
    

MCP Integration Setup

For AI assistant integration with Gemini CLI:

  1. Start both services (FastAPI app + MCP server):

    ./start_services.sh
    
  2. Configure Gemini CLI by adding to your Gemini config:

    {
      "mcpServers": {
        "todo-mcp-server": {
          "command": "/path/to/your/project/venv/bin/python",
          "args": ["mcp_server.py"],
          "cwd": "/path/to/your/project"
        }
      }
    }
    
  3. Test with Gemini CLI:

    • "Show me all my todos"
    • "Create a new todo called 'Learn FastAPI'"
    • "Mark todo as complete"
    • "What's my completion rate?"

See MCP_INTEGRATION_GUIDE.md for detailed setup instructions.

API Endpoints

  • GET / - Welcome message
  • GET /todos - Get all todos
  • GET /todos/{todo_id} - Get a specific todo
  • POST /todos - Create a new todo
  • PUT /todos/{todo_id} - Update a todo
  • DELETE /todos/{todo_id} - Delete a todo
  • GET /todos/completed - Get completed todos
  • GET /todos/pending - Get pending todos

Access the Application

Once the server is running, visit:

  • Web Interface: http://localhost:8000 (Main todo list interface)
  • API Documentation: http://localhost:8000/docs (Swagger UI)
  • Alternative API Docs: http://localhost:8000/redoc

Example Usage

Create a new todo:

curl -X POST "http://localhost:8000/todos" \
     -H "Content-Type: application/json" \
     -d '{"title": "Learn FastAPI", "description": "Build a todo API", "completed": false}'

Get all todos:

curl -X GET "http://localhost:8000/todos"

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