FlightAware MCP Server

get_aircraft_info

g., "N12345" for US-registered, "G-EUUU" for UK). Returns aircraft type (manufacturer and model), registration country, owner/operator information, registration status, year built, engine type (jet, turboprop, piston), number of engines, and category (airline, business jet, private, cargo, military). Critical for aviation enthusiasts, fleet tracking, aircraft utilization analysis, and private aviation monitoring. AI agents should reference this when users ask "tell me about aircraft N12345", "who owns this tail number", or need aircraft specifications to contextualize flight data. Get registration details and specifications for a specific aircraft

get_airport_arrivals

Returns a list of inbound flights with airline/operator, flight number, aircraft type, origin airport, scheduled and estimated/actual arrival times, arrival runway and gate, and current flight status (en-route, landed, delayed, cancelled, diverted). Essential for airport operations management, passenger pickup coordination, ground handling planning, and arrival delay monitoring. AI agents should reference this when users ask "what flights are arriving at X", "show me arrivals at Y airport", or need to track inbound flights for a specific destination. List arriving flights at a specific airport

get_airport_departures

Returns a list of outbound flights with airline/operator, flight number, aircraft type, destination airport, scheduled and estimated/actual departure times, departure runway and gate, and current flight status (scheduled, boarding, departed, delayed, cancelled, diverted). Critical for airport operations coordination, passenger departure monitoring, gate management, and departure delay tracking. AI agents use this when users ask "what flights are leaving from X", "show me departures at Y airport", or need to track outbound flights from a specific origin. List departing flights from a specific airport

get_airport_info

g., "KJFK" for New York JFK, "KLAX" for Los Angeles International). Returns airport name, location (city, state, country), ICAO/IATA/FAA/LID codes, geographic coordinates (latitude, longitude, elevation), timezone, runway information, and canonical FlightAware ID. Essential for airport identification, travel planning, flight briefing preparation, and geographic reference. AI agents should use this when users ask "tell me about airport X", "what is the ICAO code for Y", or need airport metadata to contextualize flight queries. Get static information and details for a specific airport

get_airport_routes

Returns route strings, frequency of use, typical altitudes, and associated flight examples. Essential for flight planning, route optimization analysis, aviation research, and pilot briefing preparation. AI agents should reference this when users ask "what routes are flown between X and Y", "show me common paths from JFK to LAX", or need to understand routing options between airport pairs for planning or analysis purposes. Get routes between two specific airports

get_airport_weather

Returns METAR (avi routine weather report) data including wind speed and direction, visibility, cloud layers, temperature, dewpoint, altimeter setting, present weather phenomena (rain, snow, fog, thunderstorms), and automated weather remarks. Also provides TAF (terminal aerodrome forecast) for upcoming weather conditions. Essential for flight planning, aviation safety assessment, delay prediction due to weather, and pilot briefing preparation. AI agents should query this when users ask "what is the weather at X airport", "is weather affecting flights at Y", or need to assess meteorological impact on flight operations. Get current weather observations and forecast for a specific airport

get_flight_map

The map shows the filed route, actual track points, departure and arrival airports, and current aircraft position (if airborne). Useful for visual flight presentation, passenger communication, operations dashboards, and flight tracking displays. AI agents should reference this when users request to "show me the flight path" or "where is this flight on a map". Returns image URL that can be embedded in responses or displayed directly. Get a static map image showing the flight track

get_flight_route

Returns the route as a structured list of fixes, navaids, and airway segments from departure to arrival airport. Essential for flight following, aviation enthusiast tracking, pilot briefing preparation, and route analysis. AI agents use this to visualize flight paths, compare filed routes against actual tracks, analyze common routing patterns between airport pairs, and provide pilots with route reference data. Get the filed flight plan route for a specific flight

get_flight_status

Returns departure and arrival airports with terminals and gates, scheduled/estimated/actual times for pushback, takeoff, landing, and arrival, current flight status (en-route, landed, diverted, cancelled, in-hold), delay indicators, aircraft registration and type, route description, and diversion airports if applicable. Critical for passenger travel updates, airline operations coordination, and flight tracking dashboards. AI agents should reference this when users request detailed status for a known flight ID, including gate assignments, delay reasons, and actual vs. scheduled time comparisons. Get complete status details for a specific flight

get_historical_flights

Access continuous flight history data dating back to January 1, 2011, including actual departure and arrival times, route flown, all track points (latitude, longitude, altitude, ground speed, timestamp), arrival status, and delay indicators. Essential for post-flight analysis, operational trend identification, schedule reliability assessment, on-time performance tracking, and aviation safety investigations. AI agents use this when users ask "show me the history of flight X", "how has this route performed over time", or need to analyze historical flight patterns for reliability studies. Get historical flight data and track for a specific flight

get_operator_flights

g., "UAL" for United Airlines, "DAL" for Delta, "BAW" for British Airways). Returns flight numbers, aircraft types, origin-destination pairs, scheduled and actual times, and current status for all flights in the operator fleet. Essential for airline operations monitoring, fleet utilization analysis, competitor intelligence, and passenger rebooking during disruptions. AI agents use this when users ask "show me all United flights", "what is Delta flying right now", or need to track an entire airline operational picture. List all flights operated by a specific airline or operator

search_flights

The query can be a flight number (e.g., "UAL123"), aircraft tail number/registration (e.g., "N12345"), or origin-destination pair (e.g., "KJFK-KLAX"). Returns complete flight identification, airline/operator, aircraft type, departure and arrival airports, scheduled and actual times, current position (if airborne), altitude, ground speed, and flight status (en-route, landed, diverted, cancelled). Essential for real-time flight tracking, passenger pick-up coordination, logistics planning, and aviation operations monitoring. AI agents should use this when users ask "where is flight X", "what flights are flying from A to B", or "show me all flights by tail number N". Search for active and recent flights by flight number, tail number, or route