Todo MCP Server
This MCP server provides tools to manage a todo list with CRUD operations, enabling listing, creating, updating, and deleting todos.
README
Todo App - FastAPI to MCP Conversion
This project demonstrates how to create a FastAPI todo application and convert it to an MCP (Model Context Protocol) server.
Project Structure
├── main.py # FastAPI application
├── models.py # Pydantic models for data validation
├── database.py # In-memory database operations
├── mcp_server.py # MCP server implementation
├── mcp_config.json # MCP server configuration
├── test_mcp.py # Test script for MCP server
├── requirements.txt # Python dependencies
└── README.md # This file
Features
FastAPI Application
- RESTful API endpoints for todo management
- CRUD operations (Create, Read, Update, Delete)
- Data validation with Pydantic models
- In-memory storage for simplicity
MCP Server
- Converts FastAPI functionality to MCP tools
- 5 available tools: list_todos, get_todo, create_todo, update_todo, delete_todo
- Compatible with MCP clients and AI assistants
Installation
- Create and activate a virtual environment:
python -m venv venv
# On Windows:
.\venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate
- Install dependencies:
pip install -r requirements.txt
Usage
Running the FastAPI Application
python main.py
The API will be available at http://localhost:8000
API Endpoints:
GET /- Welcome messageGET /todos- List all todosGET /todos/{id}- Get specific todoPOST /todos- Create new todoPUT /todos/{id}- Update todoDELETE /todos/{id}- Delete todo
Running the MCP Server
python mcp_server.py
The MCP server provides these tools:
list_todos- Get all todosget_todo- Get specific todo by IDcreate_todo- Create new todoupdate_todo- Update existing tododelete_todo- Delete todo
Testing the MCP Server
python test_mcp.py
This will run a comprehensive test of all MCP server functionality.
API Examples
FastAPI Examples
Create a todo:
curl -X POST "http://localhost:8000/todos" \
-H "Content-Type: application/json" \
-d '{"title": "Learn MCP", "description": "Study Model Context Protocol", "status": "pending"}'
Get all todos:
curl "http://localhost:8000/todos"
MCP Tool Examples
The MCP server can be used with MCP-compatible clients. The tools accept JSON arguments and return structured responses.
Data Models
Todo Model
id: Integer (auto-generated)title: String (required)description: String (optional)status: Enum (pending, in_progress, completed)created_at: DateTime (auto-generated)updated_at: DateTime (auto-updated)
Status Values
pending: Todo is not startedin_progress: Todo is being worked oncompleted: Todo is finished
Development
The project uses:
- FastAPI for the REST API
- Pydantic for data validation
- MCP for the protocol server
- asyncio for asynchronous operations
Notes
- The database is in-memory and will reset when the application restarts
- The MCP server runs in stdio mode for easy integration
- Both the FastAPI app and MCP server share the same data models and business logic
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