Netrows MCP Server
Track global flights via Netrows Aviation API — search flights, monitor aircraft, check airport data, and access airline schedules from any AI agent.
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What is the Netrows MCP Server?
The Netrows MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Netrows via 12 tools. Track global flights via Netrows Aviation API — search flights, monitor aircraft, check airport data, and access airline schedules from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (12)
Tools for your AI Agents to operate Netrows
Ask your AI agent "Search for all active United Airlines flights from Newark to San Francisco." and get the answer without opening a single dashboard. With 12 tools connected to real Netrows data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
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Netrows MCP Server capabilities
12 toolsThe Netrows API operates on a credit-based system where each API call consumes 1 credit. Essential for monitoring API consumption, budget management, rate limit awareness, and planning integration usage patterns. AI agents should query this when users ask "how many credits do I have left", "what is my API usage this month", or need to monitor their API consumption before running large batch queries. Check your API account usage and remaining credits
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, aircraft age, and category (airline, business jet, private, cargo). 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
g., "UA" for United, "DL" for Delta, "BA" for British Airways). Returns flight numbers, aircraft registrations and types, origin-destination pairs, scheduled and actual times, and current status for all flights in the airline 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 right now", "what is Delta flying", or need to track an entire airline operational picture in real-time. List all active flights operated by a specific airline
Returns airline name, IATA/ICAO codes, callsign, country of registration, fleet size, destination count, hub airports, and operational status. Essential for airline industry research, competitor analysis, travel planning context, and aviation market intelligence. AI agents should reference this when users ask "tell me about United Airlines", "what is the ICAO code for Delta", or need airline metadata to contextualize flight and fleet data. Get information and details for a specific airline
Returns a comprehensive list of inbound and outbound flights with airline/operator, flight number, aircraft type, origin/destination airports, scheduled and actual times, and current flight status (en-route, landed, scheduled, delayed, cancelled, diverted). Essential for airport operations management, passenger pickup coordination, ground handling planning, and flight activity monitoring. AI agents should reference this when users ask "what flights are at X airport", "show me all activity at Y", or need to monitor airport traffic patterns. List all arriving and departing flights at a specific airport
g., "JFK" or "KJFK" for New York JFK, "LAX" or "KLAX" for Los Angeles International). Returns airport name, location (city, state, country), IATA/ICAO/FAA codes, geographic coordinates (latitude, longitude, elevation), timezone, and operational status. 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
Returns departure and arrival airports with full metadata (IATA/ICAO codes, terminal, gate), scheduled and actual times for departure and arrival, aircraft registration and type, airline/operator details, current flight status, and tracking coordinates if airborne. 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, including gate assignments, timing comparisons, and aircraft information. Get complete details for a specific flight
Returns all scheduled flights with airline/operator, flight numbers, aircraft types, departure and arrival times, frequency of service, and days of operation. Essential for route planning, travel itinerary preparation, schedule analysis, and aviation market research. AI agents should reference this when users ask "what flights fly from JFK to LAX", "show me the schedule between ORD and DFW", or need to plan travel between specific airport pairs with comprehensive scheduling options. Get scheduled flights between two airports
Returns all registered aircraft in the operator fleet with registration numbers, aircraft types (manufacturer and model), ages, and current operational status. Essential for fleet analysis, aviation industry research, competitor intelligence, and operator profile generation. AI agents use this when users ask "show me all United Airlines aircraft", "what planes does Delta operate", or need to analyze fleet composition for a specific aviation operator. Search for all aircraft operated by a specific airline or company
Returns all airports (major international, regional, and general aviation) associated with the queried city including IATA/ICAO codes, full names, locations, distances from city center, and airport types. Essential for travel planning, multi-airport city analysis, alternate airport identification, and geographic aviation research. AI agents use this when users ask "what airports serve Chicago", "find airports in London", or need to identify all airports in a metropolitan area for comprehensive flight searches. Search for airports by city name or location
The query can be a flight number (e.g., "UAL123"), callsign, or origin-destination airport pair. Returns complete flight identification, airline/operator, aircraft type, departure and arrival airports with IATA/ICAO codes, scheduled and actual times, current position coordinates (latitude, longitude), altitude in feet, ground speed in knots, heading, and flight status (en-route, landed, diverted, cancelled). Essential for real-time flight tracking, passenger pickup 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 need to track specific flights by number or route. Search for active and recent flights by flight number, callsign, or route
Returns timestamped position data that can be used to visualize flight progress on maps, estimate arrival times, and monitor flight trajectory. Essential for live flight tracking applications, passenger monitoring, operations dashboards, and aviation enthusiast displays. AI agents use this when users ask "track this flight live", "where is this aircraft right now", or need continuous position updates for an airborne flight. Track real-time position and status of a specific flight
What the Netrows MCP Server unlocks
Connect your Netrows Aviation API flight tracking platform to any AI agent and take full control of real-time flight monitoring, aircraft intelligence, airport operations, and airline schedule analysis through natural conversation.
What you can do
- Flight Search — Find active and recent flights by flight number, callsign, or origin-destination airport pair
- Flight Details — Get comprehensive flight information including airports, times, aircraft, and status
- Real-Time Tracking — Monitor live flight positions with coordinates, altitude, speed, and heading
- Aircraft Registry — Look up aircraft specifications, ownership, registration, and fleet details
- Fleet Analysis — Search all aircraft operated by specific airlines or aviation companies
- Airport Intelligence — Query airport static data, codes, locations, and timezone information
- Airport Activity — Monitor all arriving and departing flights at any airport worldwide
- Airport Search — Find all airports serving a specific city or metropolitan area
- Flight Schedules — Access complete flight schedules between any two airports
- Airline Monitoring — Track all active flights by airline with real-time operational data
- Airline Profiles — Get airline company information including fleet size, hubs, and destinations
- Account Usage — Monitor your API credit consumption and remaining quota
How it works
1. Subscribe to this server
2. Enter your Netrows API key (from the Developer Portal)
3. Start tracking global aviation from Claude, Cursor, or any MCP-compatible client
No more navigating flight tracking websites or manually parsing aviation data feeds. Your AI acts as a dedicated aviation analyst and flight operations coordinator.
Who is this for?
- Aviation Enthusiasts — track any flight worldwide, research aircraft details, and explore airline fleets
- Travel Planners — monitor arriving and departing flights for passenger pickup and delay awareness
- Airport Operators — observe real-time airport activity and traffic patterns
- Airline Analysts — track competitor operations, analyze route networks, and monitor fleet utilization
Frequently asked questions about the Netrows MCP Server
Can my AI track a specific flight in real-time and show me its current position, altitude, and speed?
Yes! Use the search_flights tool with the flight number (e.g., "UAL123") to find the active flight, then use track_flight with the flight ID to get real-time position coordinates (latitude, longitude), altitude in feet, ground speed in knots, heading direction, and vertical speed. Your AI agent will respond with the exact location of the aircraft and its current flight parameters. Perfect for passenger pickup coordination and live flight monitoring.
How do I find all flights departing from or arriving at a specific airport?
Simply ask the agent to run the get_airport_flights action with the airport IATA or ICAO code (e.g., "JFK" or "KJFK" for New York JFK). It will return all arriving and departing flights with airline, flight number, aircraft type, origin/destination, scheduled and actual times, and current status. You can also use search_airports first to find the correct airport code if you only know the city name.
Can I look up information about a specific aircraft by its tail number or registration?
Absolutely! Use the get_aircraft_info tool with the aircraft registration/tail number (e.g., "N12345" for US, "G-EUUU" for UK, "D-AIMA" for Germany). Your AI will return the aircraft manufacturer and model, registration country, owner/operator, year built, engine type, number of engines, aircraft age, and category (airline, business jet, private, cargo). You can also use search_aircraft with an operator name to see their entire fleet.
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Give your AI agents the power of Netrows MCP Server
Production-grade Netrows MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






