com.airsidelabs/aviation-tools · v1.3.0 · location-and-travel
Airside Labs Aviation Tools is healthy: it completed an MCP handshake in 2277 ms and exposes 29 tools.
Aviation identity resolution and an AI use-case atlas, with provenance and temporal validity
Endpoint: https://mcp.airsidelabs.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 29 |
| Latency | 2277 ms |
| Last checked (UTC) | 2026-10-14T18:00:37.907Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-14T18:00:37.907Z | Healthy | 2277 | |
| 2026-10-14T18:00:37.545Z | Healthy | 1777 |
resolve_airport | Which aerodrome does this airport code or name refer to on a given date? Accepts an IATA three-letter code, an ICAO four-letter code, an airport name fragment or a city name. Returns the aerodrome with its codes, location, elevation, IANA timezone and type (large, medium, small, heliport or closed) |
resolve_airline | Which airline does this designator, name or callsign refer to on a date? Accepts an IATA two-character designator, an ICAO three-letter designator, an airline name or a callsign. Returns the operator with both designators, country, operational status and, where an airline ceased, its successor. `a |
resolve_aircraft_type | Which aircraft type does this designator or marketing name refer to? Accepts an ICAO type designator (A21N) or a marketing name people actually say ("A321neo", "Dash 8-400", "777-300ER", "Q400"). Returns the ICAO designator, manufacturer, model, engine count and type, aircraft class, and the ICAO w |
resolve_registration | Which airframe wore this registration on a given date? Accepts a tail number in any common form: VH-OQA, VHOQA, lowercase, padded with whitespace. Returns the aircraft with its country of registry, ICAO type designator, an embedded resolved aircraft type, operator, owner, serial number and Mode-S h |
parse_flight_identifier | Split a flight designator into carrier and number, and identify the carrier. Accepts the forms that arrive in real message traffic: TK1979, BAW276, "U2 8341", BA02490, BA2490A. Returns the parsed carrier with its resolved airline, the flight number, any operational suffix, which scheme was used (IA |
flight_airframes | Which airframes have been heard operating this airline flight, how often and when -- from Airside Labs' own ADS-B receiver? Accepts a flight in any common form: BA49, BAW49, "BA 49", VS105. Returns each airframe heard broadcasting that Flight ID within the receiver's footprint, with its Mode-S addr |
airframe_flights | Which flights has this airframe been heard or filed operating, how often and when -- the inverse of flight_airframes, from Airside Labs' own ADS-B receiver and the FAA flight-plan feed? Accepts a registration in any common form (G-XWBA, N101DU, PH-BHA) or a Mode-S address (406a3d). A registration i |
validate_identifiers | Do these aviation identifiers describe the same thing on this date? Give any combination of a registration (tail number), a Mode-S 24-bit address, an ICAO type designator, an operator name, an airline designator (IATA or ICAO), a callsign and a flight designator, plus `as_of`. Each pair that can be |
report_unmet_need | Tell us what you came looking for and could not get from these tools. Call this when you needed something aviation-related that this toolset did not give you. It is not an error channel and it is not a retry: it is how the next version of these tools learns what is missing. A need reported here is |
use_case_landscape | How many use cases are there, sliced one way? Counts you can quote. `group_by` is one of org_type (16 canonical organisation types: Airport, Airline, Air Navigation Service Provider, Ground Handling, Regulator / Authority, Aerospace Manufacturing, MRO / Maintenance …), sector, role (500+ roles), ai |
search_use_cases | Which aviation AI use cases match this text? Find candidates by keyword. Full-text search (BM25, stemmed) over 6,500 use cases spanning airports, airlines, ANSPs, ground handlers, regulators, manufacturers and more, each attached to a role and an organisation type. Returns summaries only -- id, sho |
get_use_case | The full record for one use case, by id from a search or landscape result. Returns the use-case text; the role that owns it with its description; the organisation type (canonical and as the corpus names it); every data requirement -- title, description, nominal update rate with a normalised cadence |
similar_use_cases | What else in the catalogue is like this use case? Nearest neighbours by meaning. Returns up to 20 use cases closest in embedding space (bge-base cosine over the use-case text), as summaries with a `similarity`. Good for "what else is like the one we picked", for finding the same idea stated for a d |
data_requirements | What data does this use case, role or organisation type need, and how fresh? Three modes. With `use_case_id`: that use case's requirements verbatim -- title, normalised title_family, description, nominal update rate, normalised cadence class and the kind of source system. With `query`: REVERSE line |
trace_data_lineage | Which standard operational messages would evidence this data need? The lineage spine is use case -> data requirement -> requirement family -> standard message type -> data elements. Four modes. With `use_case_id`: that use case's requirements grouped by family, each family with the standard message |
trace_workflow | What happens before and after this use case, and who hands off to whom? The catalogue is otherwise flat -- role, use case, data requirement -- with no edges. This is the edges: named operational sequences with their steps in order, the role at each step, the `gate` that must hold before the next on |
easa_ai_framework | The EASA AI-level and hazard-class tables, page-cited, to read a screen against. Returns the AI levels (0, 1A, 1B, 2A, 2B, 3A, 3B: what the system does and how much authority the end user keeps), the hazard classes (H1-H5: worst credible effect and the assurance level it implies at acceptable and m |
scenarios | Which real operational episodes does the catalogue carry, to illustrate use cases with? A scenario is one real day reconstructed from data Airside Labs holds and may publish: FAA SWIM flight plans, FAA NOTAMs, its own ADS-B receiver. Each is a UTC window at a place, a timeline whose every event nam |
get_scenario | One real episode end to end: what happened, where and when (UTC), the actors, what it shows and what it must not be read as; the timeline, every event with its actor, source and the reference of the raw record it came from; and the lenses, each a use case's cut of the day with a small evidence table |
airport_network_integration | What level of network integration does this airport have with the EUROCONTROL Network Manager, or with the FAA's TFDM programme, as of a date? Answers with one value: `ani` (Advanced Network Integrated: A-CDM with the higher level of integration), `acdm` (all DPI message types sent to the network, |
airport_operator | Who operates this airport, which group would take the commercial meeting, and who owns it? Returns operator_name, operator_group (the parent that a sales or partnership conversation lands with, spelled consistently: Aena, MAG, Groupe ADP, Fraport, VINCI Airports, Adani and so on), ownership_class ( |
airport_operations_status | Is there a positive, sourced reason this airport is not open for ordinary commercial engagement: closed to civil traffic, in a sanctioned jurisdiction, or a general-aviation field with no scheduled service? Returns `closed` (no civil passenger operations), `restricted` (the airport operates but sit |
airport_connectivity | How many nonstop destinations does this airport publish, and in which countries? Returns the count of nonstop destinations from the airport's published destination table, the number resolved to a country, the destinations by country, and the counts to the United States, the Gulf and the UAE, with t |
airport_size_band | Which ACI passenger size band is this airport in, on its latest published annual total? Returns the passengers figure, its year, and the band on ACI World's published ASQ size categories: under 2M, 2 to 5M, 5 to 15M, 15 to 25M, 25 to 40M, over 40M passengers per year. The figure comes from the airp |
airport_runways | What runways does this aerodrome publish in its state AIP, with what dimensions, surface, bearings, thresholds and declared distances, and for which AIRAC cycle? Returns every runway the state's export lists for the aerodrome: designator, length and width, surface and PCN, the runway strip, and per |
route_capacity | How much scheduled capacity is flown nonstop from one airport to another, by whom and on what, over the last N months of BTS T-100 data? Returns monthly departures performed, seats and passengers with the load factor, and the same broken down by carrier and aircraft type with seats per departure an |
airport_fleet_mix | What aircraft types fly from (or into) an airport, how often, with how many seats, and at what load factor, over the last N months of BTS T-100 data? Returns each type's departures performed and share of the airport's departures, seats, passengers, load factor, seats per departure, and how many car |
submit_suggestion | Record a suggestion about this toolset or its use-case catalogue. No API key is needed for this tool. The suggestion is written as one record into this server's own local feedback store and nothing else happens: no message, notification, email or request goes to any website, person or other system, |
feedback_status | What happened to a suggestion or unmet-need report filed here? No API key is needed. Pass the `fingerprint` from a submit_suggestion or report_unmet_need receipt (12 hex characters). Returns `status`: `shipped` (a person acted on it and the change is live, with what shipped and when), `declined` (r |