ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use FlightAware with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Track global flight status via FlightAware AeroAPI. search flights, monitor airport arrivals and departures, check weather, and access historical flight data f

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

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Complete set · 12 capabilities

The complete FlightAware capability set.

These are the exact actions your AI can choose when you ask it to work with FlightAware.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through FlightAware.

  1. 01

    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

  2. 02

    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

  3. 03

    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

  4. 04

    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

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through FlightAware.

  1. 05

    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

  2. 06

    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

  3. 07

    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

  4. 08

    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

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through FlightAware.

  1. 09

    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

  2. 10

    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

  3. 11

    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

  4. 12

    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

Observed, not estimated

873ms average. Fast in production.

FlightAware is checked daily against the live service.

Daily averagePeak 1059ms
Aug 20Today
Fastest day
736ms
Slowest day
1059ms
14-day trend
Slowing+14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of FlightAware, so you can see the experience inside your AI.

It does not authenticate your account with FlightAware. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

FlightAware Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_BcYlyJS8HiBAEl3w6oIQkoWZDYpxNFA82ItOIZwX/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — FlightAware capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flightaware-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BcYlyJS8HiBAEl3w6oIQkoWZDYpxNFA82ItOIZwX/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions FlightAware owners ask.

  • 01

    Can my AI track a specific flight in real-time and tell me exactly where it is, its altitude, and estimated arrival time?

    Yes! Use the search_flights capability with the flight number (e.g., "UAL123") or tail number to find active flights. Your AI agent will respond with current position coordinates, ground speed, altitude, estimated time of arrival (ETA), departure and arrival airports with gates, and whether the flight is en-route, landed, or experiencing delays. For even more detail on a specific flight, use get_flight_status with the FlightAware ID to get complete operational metadata.

  • 02

    How do I check all arriving and departing flights at a specific airport along with current weather conditions?

    Simply ask the agent to run the get_airport_arrivals and get_airport_departures actions with the airport ICAO code (e.g., "KJFK" for New York JFK, "KLAX" for Los Angeles). Then request get_airport_weather for the same airport to see current METAR observations including wind, visibility, ceiling, temperature, and any weather phenomena affecting operations. The AI will compile a complete picture of airport activity and meteorological conditions.

  • 03

    Can I access historical flight data to analyze on-time performance and typical routes flown between two cities?

    Absolutely! Use the get_historical_flights capability with a FlightAware canonical flight ID to retrieve complete flight history dating back to January 1, 2011. You'll get actual departure and arrival times, delay indicators, the route flown, and all track points with timestamps. To understand common routing patterns between airports, use get_airport_routes with origin and destination ICAO codes to see frequently filed routes. This is perfect for schedule reliability studies, aviation trend analysis, and operational benchmarking.