Search · MODEL CONTEXT PROTOCOL
arjunprabhulal mcp flight search
MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
WHAT IT CONNECTS
What arjunprabhulal mcp flight search gives an AI Agent
- 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
- `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
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.
README
Repository documentation
A flight search service built with Model Context Protocol (MCP). This service demonstrates how to implement MCP tools for flight search capabilities.
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.
# Install from PyPI
pip install mcp-flight-search
# Or install from the project directory (development mode)
pip install -e .Start the MCP server:
# Using the command-line entry point
mcp-flight-search --connection_type http
# Or run directly
python main.py --connection_type httpYou can also specify a custom port:
python main.py --connection_type http --port 5000Set the SerpAPI key as an environment variable:
export SERP_API_KEY="your-api-key-here"- 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
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
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
For more articles on AI/ML and Generative AI, follow me on Medium: https://medium.com/@arjun-prabhulal
This project is licensed under the MIT License - see the LICENSE file for details.
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