FlightFinder

CI PyPI version Python 3.10+ License: MIT

A Python client for searching flights and hotels. No API keys required.

• Flights: Kiwi/Skypicker GraphQL API
• Hotels: Xotelo API (TripAdvisor data)

Features

• Flight Search

  • One-way and round-trip search
  • "Anywhere" destination search - find the cheapest flights to any destination
  • Location/airport code lookup
  • Async support with AsyncFlightFinder

• Hotel Search

  • Search hotels in 30+ major cities worldwide
  • Filter by price, rating, accommodation type
  • Price ranges and review summaries

• Combined Trip Planning

  • Search flights and hotels together
  • Estimated trip cost calculation

• AI Agent Integration

  • MCP server for Claude and other AI agents
  • CLI skill for Vercel AI SDK agents

• Notifications

  • Discord webhook integration
  • Background monitoring service

• Developer Features

  • Response caching with configurable TTL
  • Retry logic with exponential backoff
  • Rate limit handling
  • Multiple output formats (table, JSON, CSV)
  • Interactive REPL mode

Installation

# Install from PyPI
pip install flightfinder

# Or with MCP server support
pip install flightfinder[mcp]

# Or with HTTP MCP server support
pip install flightfinder[mcp-http]

# Or install all extras
pip install flightfinder[all]

MCP HTTP Server Security

The HTTP MCP server binds to 127.0.0.1 by default and keeps DNS rebinding protection enabled. Local development does not require a token:

flightfinder-mcp-http

Remote or tunneled use must opt in with an API token plus explicit Host and Origin allowlists. Wildcard hosts and origins are rejected.

export FLIGHTFINDER_MCP_API_TOKEN="$(openssl rand -hex 32)"
flightfinder-mcp-http \
  --host 0.0.0.0 \
  --allowed-host flightfinder.example.com \
  --allowed-origin https://trusted-client.example.com

HTTP clients must send one of:

Authorization: Bearer <token>
X-FlightFinder-API-Token: <token>

Development Installation

# Clone the repository
git clone https://github.com/wolfgangschoenberger/flightfinder.git
cd flightfinder

# Using uv (recommended)
uv sync

# Or using pip
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

Quick Start

Python API

from flightfinder import FlightFinder
from datetime import date, timedelta

# Search for flights
with FlightFinder() as finder:
    # One-way search
    flights = finder.search_flights(
        origin="SFO",
        destination="LAX",
        departure_from=date.today() + timedelta(days=30),
        max_stops=1,
        limit=10,
    )

    for flight in flights:
        print(f"${flight.price:.0f} - {flight.origin} → {flight.destination}")
        print(f"  {flight.departure_time.strftime('%b %d %H:%M')} | {flight.duration_formatted}")
        print(f"  {flight.stops_label} | {', '.join(flight.carriers)}")

    # Round-trip search
    roundtrips = finder.search_roundtrip(
        origin="SFO",
        destination="anywhere",  # Find cheapest destinations
        departure_from=date.today() + timedelta(days=30),
        min_days=7,
        max_days=14,
        max_price=500,
    )

    for rt in roundtrips:
        print(f"${rt.price:.0f} - {rt.origin} ⇄ {rt.destination}")
        print(f"  {rt.trip_days} days | {rt.destination_city}")

    # Location search
    locations = finder.find_location("San Francisco")
    for loc in locations:
        print(f"{loc.id} - {loc.name} ({loc.type})")

Async API

import asyncio
from flightfinder import AsyncFlightFinder
from datetime import date, timedelta

async def search_multiple_origins():
    async with AsyncFlightFinder() as finder:
        # Search from multiple airports concurrently
        results = await finder.search_multiple_origins(
            origins=["SFO", "OAK", "SJC"],
            destination="LAX",
            departure_from=date.today() + timedelta(days=30),
        )

        for origin, flights in results.items():
            print(f"\nFrom {origin}:")
            for flight in flights[:3]:
                print(f"  ${flight.price:.0f} - {flight.duration_formatted}")

asyncio.run(search_multiple_origins())

CLI Usage

# One-way search
flights search SFO -d LAX --days 30 --max-stops 1

# Round-trip search
flights roundtrip SFO -d anywhere --min-days 7 --max-days 14 --max-price 500

# Search to anywhere
flights search SFO --days 30 --format json -o flights.json

# Location search
flights location "San Francisco" --type AIRPORT

# Export to CSV
flights search SFO -d LAX --format csv -o results.csv

# Interactive mode
flights repl

CLI Commands

flights search

Search for one-way flights.

flights search <origin> [options]

Options:
  -d, --destination    Destination (default: anywhere)
  --days              Days from now to start search (default: 30)
  --window            Search window in days (default: 7)
  --max-stops         Maximum stops (default: 1)
  --max-price         Maximum price filter
  --min-price         Minimum price filter
  --limit             Number of results (default: 20)
  --sort              Sort by: PRICE, DURATION, QUALITY (default: PRICE)
  --cabin             Cabin class: ECONOMY, PREMIUM_ECONOMY, BUSINESS, FIRST
  --format            Output format: table, json, csv (default: table)
  -o, --output        Output file path
  -v, --verbose       Enable verbose logging

flights roundtrip

Search for round-trip flights.

flights roundtrip <origin> [options]

Options:
  (same as search, plus:)
  --min-days          Minimum trip duration (default: 7)
  --max-days          Maximum trip duration (default: 14)
  --return-from       Days from now for earliest return
  --return-to         Days from now for latest return

flights location

Search for airport/city codes.

flights location <query> [options]

Options:
  --type              Filter by: AIRPORT, CITY, COUNTRY
  --limit             Maximum results (default: 10)
  --format            Output format: table, json, csv

flights repl

Start interactive mode.

flights repl

# In REPL:
flights> search SFO LAX
flights> roundtrip SFO anywhere
flights> location Tokyo
flights> cache
flights> clear
flights> quit

Configuration

FlightFinder can be configured via file or environment variables.

Config File

Create ~/.flightfinder/config.json or ./flightfinder.json:

{
  "api": {
    "timeout": 30.0,
    "max_retries": 3,
    "retry_delay": 1.0,
    "retry_backoff": 2.0
  },
  "cache": {
    "enabled": true,
    "ttl_seconds": 300,
    "max_size": 100
  },
  "search_defaults": {
    "adults": 1,
    "cabin_class": "ECONOMY",
    "max_stops": 2,
    "sort_by": "PRICE",
    "limit": 100
  }
}

Environment Variables

export FLIGHTFINDER_API_URL="https://api.skypicker.com/umbrella/v2/graphql"
export FLIGHTFINDER_TIMEOUT=30
export FLIGHTFINDER_MAX_RETRIES=3
export FLIGHTFINDER_CACHE_ENABLED=true
export FLIGHTFINDER_CACHE_TTL=300
export FLIGHTFINDER_CONFIG=/path/to/config.json

Programmatic Configuration

from flightfinder import FlightFinder, Config

config = Config()
config.api.timeout = 60.0
config.cache.enabled = True
config.cache.ttl_seconds = 600

finder = FlightFinder(config=config)

Deal Alerts

Set up price alerts for routes you want to monitor:

from flightfinder.alerts import DealAlertManager, PriceAlert, format_alert_match

manager = DealAlertManager()

# Add an alert
alert = PriceAlert(
    origin="SFO",
    destination="LAX",
    max_price=150,
    round_trip=True,
    min_days=7,
    max_days=14,
    name="LA Weekend Trip",
)
manager.add_alert(alert)

# Set callback for matches
def on_deal(match):
    print(format_alert_match(match))

manager.on_match = on_deal

# Check alerts
matches = manager.check_alerts(days_ahead=30, window=14)
print(f"Found {len(matches)} deals!")

# Alerts are persisted to ~/.flightfinder/alerts.json
manager.close()

Data Models

Flight

flight.price           # float: Price in USD
flight.origin          # str: Origin airport code
flight.destination     # str: Destination airport code
flight.departure_time  # datetime: Departure time
flight.arrival_time    # datetime: Arrival time
flight.duration_minutes # int: Total flight duration
flight.stops           # int: Number of stops
flight.carriers        # list[str]: Airline names
flight.segments        # list[Segment]: Individual flight segments
flight.deep_link       # str: Booking URL
flight.duration_formatted  # str: "2h 30m"
flight.stops_label     # str: "Direct", "1 stop", "2 stops"

RoundTrip

rt.price              # float: Total round-trip price
rt.outbound           # Flight: Outbound flight
rt.inbound            # Flight: Return flight
rt.trip_days          # int: Days between flights
rt.destination_city   # str: Destination city name
rt.destination_country # str: Country code
rt.checked_bag_price  # float: First checked bag price
rt.price_with_bag     # float: Total with bag
rt.is_domestic        # bool: True if within US
rt.is_international   # bool: True if outside US

Location

loc.id            # str: Location ID / airport code
loc.name          # str: Full name
loc.type          # str: AIRPORT, CITY, COUNTRY
loc.city          # str: City name
loc.country       # str: Country name
loc.country_code  # str: Country code
loc.latitude      # float: GPS latitude
loc.longitude     # float: GPS longitude

Testing

# Run all tests
pytest

# Run with coverage
pytest --cov=flightfinder

# Run specific test file
pytest tests/test_client.py -v

# Run specific test
pytest tests/test_models.py::TestFlight::test_duration_formatted -v

Project Structure

flightfinder/
├── src/flightfinder/
│   ├── __init__.py      # Package exports
│   ├── client.py        # Sync FlightFinder client
│   ├── async_client.py  # Async FlightFinder client
│   ├── models.py        # Data models (Flight, Location, etc.)
│   ├── queries.py       # GraphQL query definitions
│   ├── config.py        # Configuration management
│   ├── cache.py         # Response caching
│   ├── exceptions.py    # Custom exceptions
│   ├── alerts.py        # Deal alert system
│   └── cli.py           # Command-line interface
├── tests/               # Test suite
├── examples/            # Example scripts
└── pyproject.toml       # Project configuration

Hotel Search

Python API

from flightfinder import HotelFinder

with HotelFinder() as finder:
    # Search hotels in a city
    results = finder.search_hotels(
        location="new york",  # or "tokyo", "paris", etc.
        limit=20,
        min_price=100,
        max_price=300,
        min_rating=4.0,
    )

    for hotel in results.hotels:
        print(f"{hotel.name} - ${hotel.min_price}/night")
        print(f"  Rating: {hotel.rating}/5 ({hotel.review_count} reviews)")
        print(f"  Type: {hotel.accommodation_type}")

CLI Usage

# Search hotels
flights hotels "new york" --max-price 200 --min-rating 4.0

# List supported cities
flights hotel-locations

# Export to JSON
flights hotels tokyo --format json -o hotels.json

Combined Trip Planning

# Search flights + hotels together
flights trip SFO tokyo --days 30 --nights 7

# With price filters
flights trip LAX "new york" --max-price 400 --max-hotel-price 150

# Python API
from flightfinder import FlightFinder, HotelFinder
from datetime import date, timedelta

# Search flights
with FlightFinder() as flight_finder:
    flights = flight_finder.search_roundtrip(
        origin="SFO",
        destination="NRT",  # Tokyo Narita
        departure_from=date.today() + timedelta(days=30),
        min_days=7,
        max_days=10,
    )

# Search hotels
with HotelFinder() as hotel_finder:
    hotels = hotel_finder.search_hotels("tokyo", limit=10)

# Calculate trip cost
min_flight = min(f.price for f in flights)
min_hotel = min(h.min_price for h in hotels.hotels if h.min_price)
total = min_flight + (min_hotel * 7)
print(f"Estimated 7-night trip: ${total:.0f}")

Discord Integration

Send search results to Discord via webhook:

# One-time search with Discord notification
flights search SFO -d LAX --discord

# Round-trip with Discord notification
flights roundtrip SFO -d tokyo --min-days 7 --max-days 14 --discord

# Trip planning with Discord
flights trip SFO tokyo --nights 7 --discord

Configuration

Add your Discord webhook URL to ~/.flightfinder/config.json:

{
  "discord": {
    "webhook_url": "https://discord.com/api/webhooks/YOUR_WEBHOOK_ID/YOUR_WEBHOOK_TOKEN"
  }
}

Python API

from flightfinder import DiscordNotifier, FlightFinder

# Search and send to Discord
with FlightFinder() as finder:
    flights = finder.search_flights("SFO", "LAX", ...)

with DiscordNotifier(webhook_url="https://...") as notifier:
    notifier.send_search_results("SFO", "LAX", flights)

MCP Server (AI Agent Integration)

FlightFinder includes an MCP (Model Context Protocol) server for integration with Claude and other AI agents.

Available Tools

Tool	Description
search_flights	One-way flight search
search_roundtrip	Round-trip search with trip duration
find_location	Airport/city code lookup
search_hotels	Hotel search by location
search_trip	Combined flight + hotel search

Usage with Claude Code

Add to your Claude Code MCP configuration (.claude/settings.local.json):

{
  "mcpServers": {
    "flightfinder": {
      "command": "flights",
      "args": ["mcp-server"]
    }
  }
}

Or use the provided mcp.json:

{
  "mcpServers": {
    "flightfinder": {
      "command": "python",
      "args": ["-m", "flightfinder.mcp_server"]
    }
  }
}

Running the MCP Server

# Install with MCP support
pip install flightfinder[mcp]

# Run the MCP server (stdio transport)
flights mcp-server

# Or run directly
python -m flightfinder.mcp_server

API Notes

• No authentication required (public API)
• Content providers: KIWI, FRESH, KAYAK
• Sort options: PRICE, QUALITY, DURATION, POPULARITY
• Cabin classes: ECONOMY, PREMIUM_ECONOMY, BUSINESS, FIRST
• For "anywhere" searches, pass the literal string "anywhere" as destination

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT License - see LICENSE for details.