iflow-mcp_mcp-flight-search 0.2.0

Flight search service implementing Model Context Protocol (MCP) tools

MCP Flight Search

A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.

What is Model Context Protocol?

The Model Context Protocol (MCP) is a standard developed by Anthropic that enables AI models to use tools by defining a structured format for tool descriptions, calls, and responses. This project implements MCP tools that can be used by Claude and other MCP-compatible models.

Installation

# Install from PyPI
pip install mcp-flight-search

# Or install from the project directory (development mode)
pip install -e .

Usage

Start the MCP server:

# Using the command-line entry point
mcp-flight-search --connection_type http

# Or run directly
python main.py --connection_type http

You can also specify a custom port:

python main.py --connection_type http --port 5000

Environment Variables

Set the SerpAPI key as an environment variable:

export SERP_API_KEY="your-api-key-here"

Features

• MCP-compliant tools for flight search functionality
• Integration with SerpAPI Google Flights
• Support for one-way and round-trip flights
• Rich logging with structured output
• Modular, maintainable code structure

MCP Tools

This package provides the following Model Context Protocol tools:

• search_flights_tool: Search for flights between airports with parameters:

  • origin: Departure airport code (e.g., ATL, JFK)
  • destination: Arrival airport code (e.g., LAX, ORD)
  • outbound_date: Departure date (YYYY-MM-DD)
  • return_date: Optional return date for round trips (YYYY-MM-DD)

• server_status: Check if the MCP server is running

Project Structure

mcp-flight-search/
├── mcp_flight_search/
│   ├── __init__.py              # Package initialization and exports
│   ├── config.py                # Configuration variables (API keys)
│   ├── models/
│   │   ├── __init__.py          # Models package init
│   │   └── schemas.py           # Pydantic models (FlightInfo)
│   ├── services/
│   │   ├── __init__.py          # Services package init
│   │   ├── search_service.py    # Main flight search logic
│   │   └── serpapi_client.py    # SerpAPI client wrapper
│   ├── utils/
│   │   ├── __init__.py          # Utils package init
│   │   └── logging.py           # Logging configuration
│   └── server.py                # MCP server setup and tool registration
├── main.py                      # Main entry point
├── pyproject.toml               # Python packaging configuration
├── LICENSE                      # MIT License
└── README.md                    # Project documentation

Author

For more articles on AI/ML and Generative AI, follow me on Medium: https://medium.com/@arjun-prabhulal

License

This project is licensed under the MIT License - see the LICENSE file for details.