fli

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.

Category
Visit Server

README

šŸ›« Fli - Flight Search MCP Server and Library

Ask DeepWiki

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.

šŸš€ What makes fli special? 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/

MCP Demo

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 running which fli-mcp in 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) — comma-separated for multi
destination string Arrival airport IATA code(s) — 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') — flows to curr= param
language string BCP-47 language code (e.g. 'en-GB') — 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) — comma-separated for multi
destination string Arrival airport IATA code(s) — 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

CLI Demo

Features

  • šŸ” Powerful Search

    • One-way flight searches
    • Multi-city flight searches
    • Flexible departure times
    • Multi-airline support
    • Cabin class selection
    • Stop preferences
    • Custom result sorting
  • šŸ’ŗ Cabin Classes

    • Economy
    • Premium Economy
    • Business
    • First
  • šŸŽÆ Smart Sorting

    • Price
    • Duration
    • Departure Time
    • Arrival Time
  • šŸ›”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

āš ļø Experimental --format json is 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

āš ļø Experimental --format json is 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:

  1. Restart Claude Desktop
  2. 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"šŸ’° Price: ${flight.price}")
    print(f"ā±ļø Duration: {flight.duration} minutes")
    print(f"āœˆļø Stops: {flight.stops}")

    for leg in flight.legs:
        print(f"\nšŸ›« Flight: {leg.airline.value} {leg.flight_number}")
        print(f"šŸ“ From: {leg.departure_airport.value} at {leg.departure_datetime}")
        print(f"šŸ“ 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 search
  • round_trip_search.py - Round-trip flight booking
  • date_range_search.py - Find cheapest dates
  • multi_city_search.py - Multi-city itinerary across several legs
  • advanced_filters_search.py - Alliances, airline exclusions, layovers, locale
  • complex_flight_search.py - Advanced filtering and multi-passenger
  • time_restrictions_search.py - Time-based filtering
  • date_search_with_preferences.py - Weekend filtering
  • price_tracking.py - Price monitoring over time
  • error_handling_with_retries.py - Robust error handling
  • result_processing.py - Data analysis with pandas
  • complex_round_trip_validation.py - Advanced round-trip with validation
  • advanced_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
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 — 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 — see the LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured