FlightFinder
Integrates with Discord webhooks for sending flight deal alerts and notifications.
Provides hotel search data sourced from TripAdvisor via the Xotelo API.
Offers a CLI skill for Vercel AI SDK agents to search flights and hotels.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@FlightFinderfind flights from New York to London next week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
FlightFinder
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
Related MCP server: searchAPI-mcp
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-httpRemote 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="$(openssl rand -hex 32)"
flightfinder-mcp-http \
--host 0.0.0.0 \
--allowed-host flightfinder.example.com \
--allowed-origin https://trusted-client.example.comHTTP clients must send one of:
Authorization: Bearer <token>
X-FlightFinder-API-Token: <token>Development Installation
# Clone the repository
git clone https://github.com/wolfgangschoenberger/flightfinder.git
cd flightfinder
# Using uv (recommended)
uv sync
# Or using pip
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"Quick Start
Python API
from flightfinder import FlightFinder
from datetime import date, timedelta
# Search for flights
with FlightFinder() as finder:
# One-way search
flights = finder.search_flights(
origin="SFO",
destination="LAX",
departure_from=date.today() + timedelta(days=30),
max_stops=1,
limit=10,
)
for flight in flights:
print(f"${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 replCLI 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 loggingflights 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 returnflights 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, csvflights repl
Start interactive mode.
flights repl
# In REPL:
flights> search SFO LAX
flights> roundtrip SFO anywhere
flights> location Tokyo
flights> cache
flights> clear
flights> quitConfiguration
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.jsonProgrammatic 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 USLocation
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 longitudeTesting
# 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 -vProject 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 configurationHotel 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.jsonCombined 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 --discordConfiguration
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 |
| One-way flight search |
| Round-trip search with trip duration |
| Airport/city code lookup |
| Hotel search by location |
| 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_serverAPI 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.
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