misbahshafi/mcp-server-fast-mcp

FastAPI Todo List with MCP Server (2025)

A modern todo list application built with FastAPI and integrated with an MCP (Model Context Protocol) server using FastMCP for Gemini CLI interaction.

🚀 Features

• ✅ Complete CRUD operations for todos
• 📊 Statistics endpoint for task tracking
• 🔌 MCP server using FastMCP (2025)
• 📝 Pre-loaded dummy data (5 tasks)
• 🤖 Gemini CLI integration ready
• 🎯 Simple setup with just 2 files

📁 Project Structure

fast-apimcp/
├── main.py              # FastAPI application + MCP server
├── mcp_server.py        # Modern MCP server using FastMCP
├── requirements.txt     # Dependencies
├── .gemini/
│   └── settings.json   # Gemini CLI configuration
└── README.md           # This file

🛠️ Installation

1. Install Dependencies

pip install -r requirements.txt

2. Start FastAPI Server

python main.py

The API will be available at:

• API Base: http://localhost:8000
• Documentation: http://localhost:8000/docs
• Stats Endpoint: http://localhost:8000/todos/stats

3. Start MCP Server (Terminal 2)

python mcp_server.py

📊 API Endpoints

🔌 MCP Server Tools

The MCP server provides these tools for Gemini CLI:

• get_todos - Retrieve all todos
• get_todo_stats - Get statistics (total, completed, pending)
• create_todo - Create new todo
• update_todo - Update existing todo
• delete_todo - Delete todo
• get_todo_by_id - Get specific todo details

🤖 Gemini CLI Integration

Configuration

The .gemini/settings.json file configures Gemini CLI to connect to your MCP server:

{
  "mcpServers": {
    "todo-mcp-server": {
      "command": "python3",
      "args": ["mcp_server.py"],
      "cwd": "/home/okki/Desktop/projects/fast-apimcp"
    }
  }
}

Example Commands

Once both servers are running, you can ask Gemini CLI:

• "How many tasks are left?" → Gets pending task count
• "Show me all my todos" → Lists all tasks
• "Create a new task called Review code" → Adds new task
• "Mark task 1 as completed" → Updates task status
• "Delete task 3" → Removes task

🧪 Testing

Test FastAPI Directly

# Get all todos
curl http://localhost:8000/todos

# Get statistics
curl http://localhost:8000/todos/stats

# Create a new todo
curl -X POST "http://localhost:8000/todos" \
     -H "Content-Type: application/json" \
     -d '{"title": "Test Todo", "description": "Created via curl"}'

Test MCP Server

python mcp_server.py

This will test the connection and show current todos.

📝 Dummy Data

The application comes pre-loaded with 5 dummy todos:

1. Learn FastAPI (pending) - Complete FastAPI tutorial
2. Build MCP Server (pending) - Create MCP server for Gemini CLI
3. Test Integration (pending) - Test FastAPI with MCP server
4. Deploy Application (completed) - Deploy to production
5. Write Documentation (pending) - Create API documentation

🔧 Technology Stack

• FastAPI - Modern Python web framework
• FastMCP - Modern MCP server library (2025)
• Pydantic - Data validation and serialization
• Uvicorn - ASGI server
• httpx - Async HTTP client

🎯 Quick Start Commands

# Install dependencies
pip install -r requirements.txt

# Start FastAPI (Terminal 1)
python main.py

# Start MCP Server (Terminal 2)
python mcp_server.py

# Test API
curl http://localhost:8000/todos/stats

🐛 Troubleshooting

Common Issues

1. "Cannot connect to FastAPI"

   • Make sure FastAPI is running first: python main.py

2. "Module not found: fastmcp"

   • Install fastmcp: pip install fastmcp

3. "Port 8000 already in use"

   • Stop other services or change port in main.py

4. MCP server not connecting

   • Check .gemini/settings.json configuration
   • Ensure both servers are running

📈 Statistics Example

{
  "total_todos": 5,
  "completed_todos": 1,
  "pending_todos": 4,
  "completion_percentage": 20.0
}

🎉 Success!

📹 Demo Video

Watch the demo video: FastAPI Todo List with MCP Server Demo

Once everything is running, you'll have:

• ✅ FastAPI serving your todo API
• ✅ MCP server connected to FastAPI
• ✅ Gemini CLI able to manage your todos
• ✅ Real-time todo statistics
• ✅ Natural language todo management

Perfect for productivity and task tracking! 🚀