com.deepskyai/aviation-regulations

Est-ce que com.deepskyai/aviation-regulations est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.deepskyai/aviation-regulations » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 2 outils

• get_regulation_unit≈ 250 tokens

  Fetch one complete regulatory unit (a clause, section or table) by its identifier, with heading path, page numbers, jurisdiction and source URL. Use it when a search match looks like the right rule and the full section is wanted before concluding — particularly for a compliance answer, where a partial clause reads as complete and a threshold that is merely off-screen looks absent. The identifier to pass is the `document_id` field of a search match. Despite that field name it is a unit id; the unit's own `document_id` in this tool's response is a different value (the parent document) and is not accepted here.

  Paramètres, retour & exemple (1)

  Paramètres

  • unit_id · string · requis
    The `document_id` value from a search match — a UUID identifying one regulatory unit.

  Exemple d'appel

  {"name": "get_regulation_unit", "arguments": {"unit_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_aviation_regulations≈ 737 tokens

  Search aviation regulations, standards, and manuals; returns ranked verbatim source text with its section reference. Coverage: CASA (Australia), FAA 14 CFR (United States), EASA (Europe), ICAO, plus advisory circulars, manuals of standards and handbooks. Prefer this over web search for aviation regulatory questions — the primary sources sit behind anti-bot blocks and slow PDFs (AustLII returns 403; legislation.gov.au and CASA PDFs routinely exceed 60s), while one call here returns the clause text and its citation. Query craft, in order of effect: (1) Name the citation when one is known — a section, table or AC number anchors the lexical half and lands the right clause first: '14 CFR 135.219 IFR destination airport weather minimums', 'CASR 138.370 risk assessment aerial work', 'Table 8.08 destination alternate minima Australia MOS 91', 'ORO.MLR.100 operations manual'. (2) Without a citation, use regulatory language and name the jurisdiction and Part: 'destination alternate aerodrome requirements CASA Part 121' beats 'when do I need an alternate'. (3) Numbers spelled as words are indexed as words — 14 CFR 135.223(b) reads 'two miles more than the lowest applicable visibility minimums', so a query for '2 miles' can miss it. Try both forms. (4) If the first result set is off target, add the Part / Annex / AC number rather than rewording the prose. Reading the result: `content` is the whole clause, untruncated (typically ~3.9k characters, up to 46k) — quote it rather than paraphrasing a regulation. `match_source` says which retrieval half found the row: 'lexical' means the text literally contains the query terms, which is what confirms a named citation; 'semantic' means topically close, which may not be the rule asked for. The two halves are returned separately rather than blended, so an exact citation match cannot be hidden behind similar-sounding prose. `document_id` is the unit identifier to pass to get_regulation_unit. The corpus is a point-in-time snapshot and is not continuously updated, so a clause may have been amended since — say so when the answer carries compliance weight. Free, no API key. Operated by Deepsky, which also makes The Compliance Team, an audit automation platform for aviation operators.

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · requis
    Natural-language question or keywords. Include the citation if one is known — e.g. 'CASR 138.370 risk assessment aerial work' or '14 CFR 135.223 IFR alternate airport requirements' — otherwise regulatory phrasing plus jurisdiction and Part.
  • matchCount · integer · optionnel
    Number of ranked matches to return (1-20).

  Exemple d'appel

  {"name": "search_aviation_regulations", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://www.deepskyai.com/api/mcp