fli
Enables flight search and fare calendar exploration by interacting with Google Flights' API, supporting detailed filters for origin, destination, dates, cabin class, airlines, and more.
README
š« Fli - Flight Search MCP Server and Library
A powerful Python library that provides programmatic access to Google Flights data with an elegant CLI interface. Search flights, find the best deals, and filter results with ease.
š What makes
flispecial? Unlike other flight search libraries that rely on web scraping, Fli directly interacts with Google Flights' API through reverse engineering. This means:
- Fast: Direct API access means faster, more reliable results
- Zero Scraping: No HTML parsing, no browser automation, just pure API interaction
- Reliable: Less prone to breaking from UI changes
- Modular: Extensible architecture for easy customization and integration
MCP Server
pipx install flights
# Run the MCP server on STDIO
fli-mcp
# Run the MCP server over HTTP (streamable)
fli-mcp-http # serves at http://127.0.0.1:8000/mcp/

Connecting to Claude Desktop
{
"mcpServers": {
"fli": {
"command": "/Users/<user>/.local/bin/fli-mcp"
}
}
}
Note: Replace
<user>with your actual username. You can also find the path to the MCP server by runningwhich fli-mcpin your terminal.
MCP Tools Available
The MCP server provides two main tools:
| Tool | Description |
|---|---|
search_flights |
Search for flights on a specific date with detailed filters |
search_dates |
Find the cheapest travel dates across a flexible date range |
search_flights Parameters
| Parameter | Type | Description |
|---|---|---|
origin |
string | Departure airport IATA code(s) ā comma-separated for multi |
destination |
string | Arrival airport IATA code(s) ā comma-separated for multi |
departure_date |
string | Travel date in YYYY-MM-DD format |
return_date |
string | Return date for round trips (optional) |
cabin_class |
string | ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRST |
max_stops |
string | ANY, NON_STOP, ONE_STOP, or TWO_PLUS_STOPS |
departure_window |
string | Time window in 'HH-HH' format (e.g., '6-20') |
airlines |
list | Filter by airline codes (e.g., ['BA', 'AA']) |
exclude_airlines |
list | Airline IATA codes to exclude (e.g., ['DL', 'B6']) |
alliance |
list | Restrict to alliances: ONEWORLD, SKYTEAM, STAR_ALLIANCE |
exclude_alliance |
list | Alliance names to exclude from results |
min_layover |
int | Minimum layover duration in minutes (multi-stop only) |
max_layover |
int | Maximum layover duration in minutes (multi-stop only) |
currency |
string | ISO 4217 code (e.g. 'EUR', 'JPY') ā flows to curr= param |
language |
string | BCP-47 language code (e.g. 'en-GB') ā flows to hl= param |
country |
string | ISO 3166-1 alpha-2 country code (e.g. 'GB') for gl= param |
sort_by |
string | CHEAPEST, DURATION, DEPARTURE_TIME, or ARRIVAL_TIME |
passengers |
int | Number of adult passengers |
search_dates Parameters
| Parameter | Type | Description |
|---|---|---|
origin |
string | Departure airport IATA code(s) ā comma-separated for multi |
destination |
string | Arrival airport IATA code(s) ā comma-separated for multi |
start_date |
string | Start of date range in YYYY-MM-DD format |
end_date |
string | End of date range in YYYY-MM-DD format |
trip_duration |
int | Trip duration in days (for round-trips) |
is_round_trip |
bool | Whether to search for round-trip flights |
cabin_class |
string | ECONOMY, PREMIUM_ECONOMY, BUSINESS, or FIRST |
max_stops |
string | ANY, NON_STOP, ONE_STOP, or TWO_PLUS_STOPS |
departure_window |
string | Time window in 'HH-HH' format (e.g., '6-20') |
airlines |
list | Filter by airline codes (e.g., ['BA', 'AA']) |
exclude_airlines |
list | Airline IATA codes to exclude |
alliance |
list | Restrict to alliances: ONEWORLD, SKYTEAM, STAR_ALLIANCE |
exclude_alliance |
list | Alliance names to exclude |
min_layover |
int | Minimum layover duration in minutes |
max_layover |
int | Maximum layover duration in minutes |
currency |
string | ISO 4217 currency code (e.g. 'EUR', 'JPY') |
language |
string | BCP-47 language code (e.g. 'en-GB') |
country |
string | ISO 3166-1 alpha-2 country code (e.g. 'GB') |
sort_by_price |
bool | Sort results by price (lowest first) |
passengers |
int | Number of adult passengers |
Quick Start
pip install flights
# Install using pipx (recommended for CLI)
pipx install flights
# Get started with CLI
fli --help

Features
-
š Powerful Search
- One-way flight searches
- Multi-city flight searches
- Flexible departure times
- Multi-airline support
- Cabin class selection
- Stop preferences
- Custom result sorting
-
šŗ Cabin Classes
- Economy
- Premium Economy
- Business
- First
-
šÆ Smart Sorting
- Price
- Duration
- Departure Time
- Arrival Time
-
š”ļø Built-in Protection
- Rate limiting
- Automatic retries
- Comprehensive error handling
- Input validation
CLI Usage
Search for Flights
# Basic flight search
fli flights JFK LHR 2026-10-25
# Advanced search with filters
fli flights JFK LHR 2026-10-25 \
--time 6-20 \ # Departure time window (6 AM - 8 PM)
--airlines BA,KL \ # Airlines (British Airways, KLM)
--class BUSINESS \ # Cabin class
--stops NON_STOP \ # Non-stop flights only
--sort DURATION # Sort by duration
# Alliance + exclude + locale (May-2026 filter additions)
fli flights JFK LHR 2026-10-25 \
--alliance ONEWORLD \
--exclude-airlines AA \
--min-layover 90 \
--max-layover 360 \
--currency EUR --language en-GB --country GB
ā ļø Experimental
--format jsonis experimental. The JSON schema may change while the machine-readable CLI contract settles.# Return machine-readable flight results fli flights JFK LHR 2026-10-25 --format json
Find Cheapest Dates
# Basic date search
fli dates JFK LHR
# Advanced search with date range
fli dates JFK LHR \
--from 2026-01-01 \
--to 2026-02-01 \
--monday --friday # Only Mondays and Fridays
ā ļø Experimental
--format jsonis experimental for date searches as well.# Return machine-readable date search results fli dates JFK LHR --from 2026-01-01 --to 2026-02-01 --format json
Multi-city Search
# Two-leg multi-city trip
fli multi --leg SEA,HKG,2026-12-26 --leg PEK,SEA,2027-01-02
# Three-leg multi-city trip with filters
fli multi \
-l SEA,NRT,2026-12-26 \
-l NRT,HKG,2026-12-30 \
-l HKG,SEA,2027-01-05 \
--class BUSINESS \
--stops 0
CLI Options
Flights Command (fli flights)
| Option | Description | Example |
|---|---|---|
--return, -r |
Return date | 2026-10-30 |
--time, -t |
Departure time window | 6-20 |
--airlines, -a |
Airline IATA codes | BA,KL |
--exclude-airlines, -A |
Airline IATA codes to exclude | DL,B6 |
--alliance |
Restrict to alliance(s) | ONEWORLD, SKYTEAM |
--exclude-alliance |
Alliance(s) to exclude | STAR_ALLIANCE |
--min-layover |
Minimum layover (minutes) | 90 |
--max-layover |
Maximum layover (minutes) | 360 |
--currency |
ISO 4217 currency code | EUR, JPY |
--language |
BCP-47 language code (Google hl=) |
en-GB |
--country |
ISO 3166-1 alpha-2 country (gl=) |
GB |
--class, -c |
Cabin class | ECONOMY, BUSINESS |
--stops, -s |
Maximum stops | NON_STOP, ONE_STOP |
--sort, -o |
Sort results by | CHEAPEST, DURATION |
--format |
Output format | text, json |
Dates Command (fli dates)
| Option | Description | Example |
|---|---|---|
--from |
Start date | 2026-01-01 |
--to |
End date | 2026-02-01 |
--duration, -d |
Trip duration in days | 3 |
--round, -R |
Round-trip search | (flag) |
--airlines, -a |
Airline IATA codes | BA,KL |
--exclude-airlines, -A |
Airline IATA codes to exclude | DL,B6 |
--alliance |
Restrict to alliance(s) | ONEWORLD |
--exclude-alliance |
Alliance(s) to exclude | STAR_ALLIANCE |
--min-layover |
Minimum layover (minutes) | 90 |
--max-layover |
Maximum layover (minutes) | 360 |
--currency |
ISO 4217 currency code | EUR, JPY |
--language |
BCP-47 language code | en-GB |
--country |
ISO 3166-1 alpha-2 country | GB |
--class, -c |
Cabin class | ECONOMY, BUSINESS |
--stops, -s |
Maximum stops | NON_STOP, ONE_STOP |
--time |
Departure time window | 6-20 |
--sort |
Sort by price | (flag) |
--[day] |
Day filters | --monday, --friday |
--format |
Output format | text, json |
Multi Command (fli multi)
| Option | Description | Example |
|---|---|---|
--leg, -l |
Flight leg (ORIGIN,DEST,DATE format) | SEA,HKG,2026-12-26 |
--time, -t |
Departure time window | 6-20 |
--airlines, -a |
Airline IATA codes | DL CX |
--class, -c |
Cabin class | ECONOMY, BUSINESS |
--stops, -s |
Maximum stops | NON_STOP, ONE_STOP |
--sort, -o |
Sort results by | CHEAPEST, DURATION |
MCP Server Integration
Fli includes a Model Context Protocol (MCP) server that allows AI assistants like Claude to search for flights directly. This enables natural language flight search through conversation.
Running the MCP Server
# Run the MCP server on STDIO
fli-mcp
# Or with uv (for development)
uv run fli-mcp
# Or with make (for development)
make mcp
# Run the MCP server over HTTP (streamable)
fli-mcp-http # serves at http://127.0.0.1:8000/mcp/
Claude Desktop Configuration
To use the flight search capabilities in Claude Desktop, add this configuration to your claude_desktop_config.json:
Location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
{
"mcpServers": {
"flight-search": {
"command": "fli-mcp",
"args": []
}
}
}
After adding this configuration:
- Restart Claude Desktop
- You can now ask Claude to search for flights naturally:
- "Find flights from JFK to LAX on December 25th"
- "What are the cheapest dates to fly from NYC to London in January?"
- "Search for business class flights from SFO to NRT with no stops"
Python API Usage
Basic Search Example
from datetime import datetime, timedelta
from fli.models import (
Airport,
PassengerInfo,
SeatType,
MaxStops,
SortBy,
FlightSearchFilters,
FlightSegment
)
from fli.search import SearchFlights
# Create search filters
filters = FlightSearchFilters(
passenger_info=PassengerInfo(adults=1),
flight_segments=[
FlightSegment(
departure_airport=[[Airport.JFK, 0]],
arrival_airport=[[Airport.LAX, 0]],
travel_date=(datetime.now() + timedelta(days=30)).strftime("%Y-%m-%d"),
)
],
seat_type=SeatType.ECONOMY,
stops=MaxStops.NON_STOP,
sort_by=SortBy.CHEAPEST,
)
# Search flights
search = SearchFlights()
flights = search.search(filters)
# Process results
for flight in flights:
print(f"š° Price: ${flight.price}")
print(f"ā±ļø Duration: {flight.duration} minutes")
print(f"āļø Stops: {flight.stops}")
for leg in flight.legs:
print(f"\nš« Flight: {leg.airline.value} {leg.flight_number}")
print(f"š From: {leg.departure_airport.value} at {leg.departure_datetime}")
print(f"š To: {leg.arrival_airport.value} at {leg.arrival_datetime}")
Running Examples
Runnable examples live in examples/python/:
# Run examples with uv (recommended)
uv run python examples/python/basic_one_way_search.py
uv run python examples/python/round_trip_search.py
uv run python examples/python/date_range_search.py
# Or install dependencies first, then run directly
pip install pydantic curl_cffi httpx
python examples/python/basic_one_way_search.py
Available Examples:
basic_one_way_search.py- Simple one-way flight searchround_trip_search.py- Round-trip flight bookingdate_range_search.py- Find cheapest datesmulti_city_search.py- Multi-city itinerary across several legsadvanced_filters_search.py- Alliances, airline exclusions, layovers, localecomplex_flight_search.py- Advanced filtering and multi-passengertime_restrictions_search.py- Time-based filteringdate_search_with_preferences.py- Weekend filteringprice_tracking.py- Price monitoring over timeerror_handling_with_retries.py- Robust error handlingresult_processing.py- Data analysis with pandascomplex_round_trip_validation.py- Advanced round-trip with validationadvanced_date_search_validation.py- Complex date search with filtering
Examples
Examples are organized by language, with parallel scripts so you can compare the two APIs:
- Python ā
examples/python/ - TypeScript ā
examples/typescript/
# Python
uv run python examples/python/complex_flight_search.py
# TypeScript (from examples/typescript, after `bun install`)
bun run multi_city_search.ts
Example Categories:
- Basic Usage: One-way, round-trip, date searches
- Advanced Filtering: Time restrictions, airlines, alliances, seat classes, locale
- Data Analysis: Price tracking, result processing with pandas
- Error Handling: Retry logic, robust error management
- Complex Scenarios: Multi-city, multi-passenger, validation, business rules
Each example is self-contained ā change the airports, dates, and filters at the top of the script to fit your search.
TypeScript / JavaScript
Fli is also available as a 1:1 TypeScript port, published to npm as
fli-js. Same models, same filter encoding,
same direct-API approach.
bun add fli-js # or: npm install fli-js
import { Airport, FlightSearchFilters, FlightSegment, SearchFlights, SeatType } from "fli-js";
const inDays = (n: number) => new Date(Date.now() + n * 86_400_000).toISOString().slice(0, 10);
const filters = new FlightSearchFilters({
passenger_info: { adults: 1, children: 0, infants_in_seat: 0, infants_on_lap: 0 },
flight_segments: [
new FlightSegment({
departure_airport: [[[Airport.JFK, 0]]],
arrival_airport: [[[Airport.LAX, 0]]],
travel_date: inDays(30),
}),
],
seat_type: SeatType.ECONOMY,
});
const results = await new SearchFlights().search(filters, { currency: "USD" });
The TypeScript source lives in fli-js/; see the
TypeScript Quick Start
for the full guide.
Development
# Clone the repository
git clone https://github.com/punitarani/fli.git
cd fli
# Install dependencies with uv
uv sync --all-extras
# Run tests
uv run pytest
# Run linting
uv run ruff check .
uv run ruff format .
# Build documentation
uv run mkdocs serve
# Or use the Makefile for common tasks
make install-all # Install all dependencies
make test # Run tests
make lint # Check code style
make format # Format code
Docker Development
# Build the devcontainer
docker build -t fli-dev -f .devcontainer/Dockerfile .
# Run CI inside the container
docker run --rm fli-dev make lint test-all
# Or run lint and tests separately
docker run --rm fli-dev make lint
docker run --rm fli-dev make test-all
Running CI Locally with act
To run GitHub Actions locally, install act:
brew install act
# Run CI locally (lint + tests on Python 3.10-3.13)
make ci
# Or run CI inside Docker (no local act installation needed)
make ci-docker
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License ā see the LICENSE file for details.
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