AeroDataBox MCP. Get live and historical aviation data streams.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
AeroDataBox connects your AI agent to global aviation data. It lets you track real-time flight status, check airport schedules (FIDS), pull historical delay statistics, and analyze detailed runway metrics—all through natural language queries.
What your AI agents can do
Convert alert subscription
Changes an old flight alert subscription format to the current credit-based system.
Create flight alert
Sets up a new webhook that notifies you when a specific flight meets certain criteria.
Delete alert subscription
Removes an existing flight alert webhook subscription.
You ask your agent for a flight's current status, and it uses tools like get_nearest_flight or get_flight_by_date to get real-time location and details.
The system retrieves full departure/arrival lists for an airport, handling both absolute time ranges (get_fids_absolute) and relative windows (get_fids_relative).
You can pull delay data. Use get_airport_delays for what's happening right now, or use get_global_delays_historical to see trends over months.
The server provides detailed physical and operational data on an airport's runways and general route frequencies using tools like get_airport_runways or get_airport_routes_stats.
You need to know the travel distance and estimated time between two airfields? Run get_distance_time to get a precise calculation.
Ask AI about this MCP
Supported MCP Clients
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AeroDataBox MCP Server: 23 Tools for Aviation Data
Use these tools to query everything from real-time flight status and airport schedules (FIDS) to deep historical delay analysis across the globe.
019ea5dfconvert alert subscription
Changes an old flight alert subscription format to the current credit-based system.
019ea5dfcreate flight alert
Sets up a new webhook that notifies you when a specific flight meets certain criteria.
019ea5dfdelete alert subscription
Removes an existing flight alert webhook subscription.
019ea5dfget airline fleet
Lists all active aircraft models operated by a specific airline name.
019ea5dfget airport delays
Retrieves statistical data on current operational delays at an airport.
019ea5dfget airport delays historical
Fetches historical delay statistics for a specific date at an airport.
019ea5dfget airport delays period
Retrieves historical airport delay data across a defined time period.
019ea5dfget airport routes stats
Gets the frequency statistics for different flight paths at an airport.
019ea5dfget airport runways
Provides detailed physical and operational data, including dimensions, for all runways at a specified airport.
019ea5dfget airports by ip
Identifies the closest major airports based on a user's IP address location.
019ea5dfget alert balance
Checks your current available credit balance for flight alerts.
019ea5dfget alert subscription
Shows the details and status of one specific flight alert subscription.
019ea5dfget distance time
Calculates the estimated distance (miles) and time required for a flight between two airports.
019ea5dfget fids absolute
Retrieves airport departure and arrival schedules using precise, absolute date/time stamps.
019ea5dfget fids relative
Gets departing and arriving flights for an airport based on a relative time window (e.g., next 3 hours).
019ea5dfget flight by date
Retrieves the status of any flight number scheduled to operate on a specific date.
019ea5dfget flight delays
Calculates historical punctuality performance statistics for a single flight number over time.
019ea5dfget flight history
Pulls the complete operational history and scheduled movements for a given flight or registration code.
019ea5dfget global delays
Checks current, real-time delay statistics across all major global airports.
019ea5dfget global delays historical
Retrieves historical data showing global average and maximum delays over a time period.
019ea5dfget nearest flight
Gets the real-time status details for the flight closest to the user based on a provided flight number.
019ea5dflist alert subscriptions
Displays a list of all flight alert webhook subscriptions currently active under your account.
019ea5dfrefill alert balance
Adds additional credit to your flight alert balance.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AeroDataBox, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
AeroDataBox connects your AI client directly to global aviation data streams. You talk to your agent in plain English; it handles the heavy lifting, pulling real-time flight status, complex airport schedules, deep performance metrics, and detailed runway specs from around the world.
Current Flight Tracking & Real-Time Status
When you need to know where a plane is right now, your agent uses get_nearest_flight for immediate updates on the aircraft closest to your location based on a flight number. You can check the current status of any specific flight using get_flight_by_date, or get real-time delay statistics for every major global airport with get_global_delays.
If you're focused on one spot, get_airport_delays pulls statistical data showing what’s delayed right now at a single airport.
Airport Schedules and Logistics
Figuring out when things move through an airport is simple. You can retrieve full departure and arrival schedules using precise timestamps with get_fids_absolute, or you can just ask for flights happening in the next few hours; that's what get_fids_relative handles. If you need to know where you are relative to major airfields, run get_airports_by_ip and it points you to your closest options.
For calculating travel time between two spots, get_distance_time gives you the estimated distance in miles and the required flight time.
Deep Historical Analysis & Trends
Want to see patterns? You can pull a flight’s entire operational history and scheduled movements using get_flight_history, or check its historical punctuality record over time with get_flight_delays. To analyze delay trends, you've got options: use get_airport_delays_historical to see what happened on one specific day at an airport; scope out a whole week using get_airport_delays_period; or check global patterns over months with get_global_delays_historical.
You can also get frequency statistics for different flight paths in an area by calling get_airport_routes_stats.
Infrastructure and Fleet Data
Need the nuts and bolts of an airport? get_airport_runways gives you detailed physical specifications and operational data, including dimensions, for every runway at a specified location. If you want to see what kinds of planes are flying out of a specific airline, get_airline_fleet lists all active aircraft models operated by that company.
Managing Flight Alerts (Webhooks)
Keeping tabs on flights without constantly asking your agent is key. Your AI client handles webhooks for you. You can set up new alerts for specific flight criteria using create_flight_alert, or delete old ones with delete_alert_subscription. To see what alerts are running, use list_alert_subscriptions to display all active subscriptions; if you only need details on one, get_alert_subscription shows that status.
You can also check your credit balance using get_alert_balance, refill it with extra funds via refill_alert_balance, or update an old subscription format by running convert_alert_subscription.
Core Functionality Summary
Your agent handles everything from getting the full list of active aircraft models for a given airline (get_airline_fleet) to checking historical delay data across multiple periods. It provides complete coverage, making sure you get reliable numbers whether you're tracking global movement or just planning a local trip.
How AeroDataBox MCP Works
- 1 Subscribe to AeroDataBox on Vinkius and provide your API Key.
- 2 Tell your AI client what data you need (e.g., 'What were the historical delays at JFK in July?').
- 3 Your agent translates that request into specific tool calls, like
get_airport_delays_historical, and returns the structured aviation data.
The bottom line is: you talk to your agent, it talks to AeroDataBox, and you get clean, actionable flight intelligence back in seconds.
Who Is AeroDataBox MCP For?
Any role that relies on accurate movement data—from the field operations lead needing immediate ETA confirmation to the developer building a specialized travel app. If your job involves tracking planes or reading airport stats, you need this.
The ops manager who needs to confirm if multiple flights connecting through an intermediate hub are on time using get_nearest_flight and current delay reports.
The analyst pulling quarterly reports on airport performance, needing structured historical data via get_global_delays_historical instead of manual exports.
The planner who needs to calculate the optimal route and travel time between two airfields before recommending a change in itinerary using get_distance_time.
What Changes When You Connect
- Avoid manual dashboard scraping. Instead of opening five different airport sites, let your agent combine current delays (
get_airport_delays) with scheduled departures (get_fids_relative) in one query. - Never guess a flight's true performance again. Use
get_flight_delaysto see historical punctuality metrics for a specific flight number, backed by data, not assumptions. - Calculate routes instantly. Stop using external mapping tools; run
get_distance_timeto get accurate miles and estimated hours between any two airports. - Manage alerts directly from chat. Use
create_flight_alertorlist_alert_subscriptionsto set up monitoring webhooks without navigating a dedicated dashboard interface. - Deep dive into infrastructure. Need to know if an airport can handle certain aircraft? Check the physical dimensions and operational details using
get_airport_runways.
Real-World Use Cases
The last-minute travel disruption
A logistics coordinator needs to re-route a shipment because of bad weather. They ask their agent, 'What's the current delay status at ATL and what are the nearest alternative airports?' The agent runs get_airport_delays and cross-references it with get_airports_by_ip for immediate options.
Auditing annual performance
A data scientist needs to prove how much global delay improved last year. They run a single query using get_global_delays_historical covering the full calendar year, generating a structured report instantly.
Planning a major event charter
A corporate planner needs to know if an airport can handle their specific plane type and volume. They run get_airport_runways for physical specs, then use get_airport_routes_stats to check frequency capacity.
Proactive monitoring of key routes
A team manages a critical air corridor. Instead of checking dashboards every hour, they set up an alert using create_flight_alert for any flight passing through the area that exceeds a 90-minute delay.
The Tradeoffs
Confusing real-time with historical data
A user asks, 'What's the average delay at JFK?' and gets inaccurate or misleading current stats instead of a true long-term metric.
→
If you need past performance (e.g., last quarter), use get_airport_delays_period or get_global_delays_historical. Only run get_airport_delays if the delay is happening right now.
Over-querying for flight status
A user keeps running 'What's the status of AA100?' every minute, wasting resources and getting redundant data.
→
Set up a single monitoring hook using create_flight_alert to get notified only when the status crosses a defined threshold (e.g., delayed by 30 minutes).
Ignoring airport geography
A user assumes the closest major hub is JFK, but their actual point of interest is actually Oakland (OAK).
→
Always run get_airports_by_ip first. This ensures your agent knows the correct regional airport to pull data from before querying FIDS or delays.
When It Fits, When It Doesn't
Use AeroDataBox if you need structured, machine-readable aviation data that mixes real-time status with historical trend analysis (e.g., 'How did JFK's average delay change in Q4 compared to this year?'). If your problem requires checking a specific scheduled time window or needing the physical specs of runways, use it.
Don't use it if you just need general knowledge—like 'What is the capital of France?' Use Google. Don't use it for simple lookups that only require one data point; sometimes get_nearest_flight is better than trying to pull a whole FIDS list with get_fids_relative. Always check if you are comparing two airports first using get_distance_time before running any route analysis.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AeroDataBox. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 23 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through flight status boards takes forever.
Today, checking an airport's schedule means logging into the airline website, opening the local airport page, then manually scrolling through departures and arrivals for different time blocks. You copy-paste times and dates into a spreadsheet just to build a basic timeline.
With AeroDataBox, you simply tell your agent, 'Show me all departures from LAX between 2 PM and 6 PM today.' The server runs `get_fids_relative` and hands you the clean, structured JSON data. You get the full schedule instantly.
AeroDataBox MCP Server: Get global flight tracking.
Manual checks for aviation performance are a mess of siloed dashboards—one site for delays, another for runway data, and yet a third for historical trends. You spend half your day just stitching together the right inputs to make sense of it all.
Now, you ask one question: 'What's the overall operational health of this region?' The agent combines `get_global_delays` with infrastructure checks from `get_airport_runways`, giving you a single, comprehensive performance snapshot. It's that simple.
Common Questions About AeroDataBox MCP
How do I check if an airport is experiencing current delays using get_airport_delays? +
Run the get_airport_delays tool and specify the airport code. The response gives you statistical data on current operational slowdowns, helping you quantify the delay problem right now.
What's the difference between get_flight_by_date and get_nearest_flight? +
get_nearest_flight checks the status of a specific flight number that is currently airborne or approaching. get_flight_by_date pulls data for any flight scheduled to run on an entire calendar day, regardless of its current status.
Can I track global delay trends with get_global_delays_historical? +
Yes. You use get_global_delays_historical and specify a date range. This returns structured data that tracks overall performance metrics across the entire aviation network over time.
How do I get detailed physical specs for an airport? Do I need get_airport_runways? +
You use get_airport_runways. This tool gives you specific details on runway dimensions and operational capabilities, which is more precise than just checking FIDS.
When should I use `get_fids_absolute` versus `get_fids_relative` for departures and arrivals? +
Use get_fids_absolute when you need specific start and end timestamps. This is best for querying data across a fixed date range, regardless of the current time. If you just want to see what's happening in the next two hours from right now, use get_fids_relative.
How do I find all active aircraft operated by an airline using `get_airline_fleet`? +
You just pass the airline's name or identifier to the tool. It returns a list of every currently operational and tracked aircraft assigned to that specific carrier, letting you gauge its size.
If I don't know which airport is closest, how does `get_airports_by_ip` help me? +
get_airports_by_ip takes your IP address and determines the nearest operational airports to that location. This saves you from manually guessing or searching multiple regional databases.
What kind of data does `get_airport_routes_stats` provide about an airport's operations? +
This tool returns statistical route frequencies for a specific airport. You can use the results to understand which routes are most commonly serviced and what the typical traffic flow looks like.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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