Install
$ agentstack add mcp-arjunprabhulal-mcp-flight-search ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: arjunprabhulal
- Source: arjunprabhulal/mcp-flight-search
- License: MIT
- Homepage: https://pypi.org/project/mcp-flight-search/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.