nl.kentekenkompas/vehicle-knowledge

Est-ce que nl.kentekenkompas/vehicle-knowledge est sûr ?

Au dernier audit MCP Hub, le serveur MCP « nl.kentekenkompas/vehicle-knowledge » 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 7 outils

• compare_vehicle_models≈ 3258 tokens

  Read one stored sourceModelKey-to-targetModelKey relation, not a generated comparison. Returns model keys, relationType/meaning and rationale, with evidence, sources and citations. Preserve classification and limitations; do not strengthen the stored claims. Only DIRECT_ALTERNATIVE denotes a direct alternative. Existing models need not have a relation; the reverse direction is a separate lookup. Use get_model_context for one model and its peers, or search_vehicle_knowledge to discover keys. Unknown model returns MODEL_NOT_FOUND; self/missing relation returns COMPARISON_NOT_AVAILABLE. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (2)

  Paramètres

  • sourceModelKey · string · requis
    Required exact canonical model key whose stored outgoing peer relation is read. 1–200 lowercase ASCII letters/digits in single-hyphen-separated groups, e.g. volkswagen-golf; exact match, direction matters. Use get_model_context to discover peers.
  • targetModelKey · string · requis
    Required exact canonical key of the target in the source model's stored peers. 1–200 lowercase ASCII letters/digits in single-hyphen-separated groups; exact match, must differ from sourceModelKey. Existence of two models does not guarantee a relation.

  Exemple d'appel

  {"name": "compare_vehicle_models", "arguments": {"sourceModelKey": "texte", "targetModelKey": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• explain_dutch_vehicle_term≈ 3130 tokens

  Read one existing Dutch vehicle definition by lowercase term slug or term.<slug>. Use search_vehicle_knowledge for free text or an unknown key, get_answer_context for a known answerId, or get_model_context for model-specific context. No fuzzy definition generation. Unknown valid key returns TERM_NOT_FOUND; uppercase/spaced inputs fail validation before normalization. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (1)

  Paramètres

  • termKey · string · requis
    Existing lowercase term slug or the same slug prefixed with term., e.g. apk or term.apk. 1–200 characters; ASCII letters/digits with single hyphen separators. No spaces, uppercase or fuzzy matching; these fail schema validation before normalization.

  Exemple d'appel

  {"name": "explain_dutch_vehicle_term", "arguments": {"termKey": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• get_answer_context≈ 3322 tokens

  Read one existing Direct Answer by exact answerId; no text generation. Use search_vehicle_knowledge when the ID is unknown, get_model_context with includeAnswers=true for a model's answers, or explain_dutch_vehicle_term for a term key. Do not pass a free-text question as an ID. Unknown ID returns ANSWER_NOT_FOUND; preserve the returned evidence and limitations. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (1)

  Paramètres

  • answerId · string · requis
    Stable existing Direct Answer identifier, 1–200 characters, matching answer.<lowercase-model-or-topic>.<lowercase-intent> (ASCII letters, digits and hyphens in both parts). Copy the full ID from discovery; no free-text question.

  Exemple d'appel

  {"name": "get_answer_context", "arguments": {"answerId": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• get_fuel_price_context≈ 3028 tokens

  Read the existing fuel-price provenance/status, not current pump prices or a vehicle's consumption. No arguments. Currently succeeds with SOURCE_REQUIRED_AT_RUNTIME and prices=[] because no validated current-price adapter is configured. Use get_source_context for an exact source ID or search_vehicle_knowledge for broader fuel knowledge. Never treat empty prices as zero or invent a current price. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_fuel_price_context", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• get_model_context≈ 4931 tokens

  Read model-level knowledge for an exact modelKey; optionally include its existing Direct Answers. Use search_vehicle_knowledge to discover a key, get_answer_context for a known answerId, or compare_vehicle_models for a known pair. Not a license-plate lookup or individual-car assessment. Unknown key returns MODEL_NOT_FOUND; incomplete coverage remains a successful result with coverage and limitations. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (2)

  Paramètres

  • modelKey · string · requis
    Canonical model identifier from search results or kk://models, e.g. volkswagen-golf. 1–200 characters; lowercase ASCII letters/digits separated by single hyphens. Exact match; no aliases, spaces, uppercase, URL or license plate.
  • includeAnswers · boolean · optionnel
    Optional, default false. When true, include the model's existing Direct Answers in data.answers and merge their evidence, sources and limitations. Does not generate answers or change the model's freshness.

  Exemple d'appel

  {"name": "get_model_context", "arguments": {"modelKey": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": {}, "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• get_source_context≈ 3846 tokens

  Read one public SOURCE or SOURCE_GROUP by exact opaque sourceId to inspect provenance, freshness and limitations. Use search_vehicle_knowledge to discover sources; get_model_context or get_answer_context retrieves the knowledge a source supports. Not a search by URL or source label. Never split composite-looking IDs. Unknown ID returns SOURCE_NOT_FOUND. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (1)

  Paramètres

  • sourceId · string · requis
    Opaque public SOURCE or SOURCE_GROUP ID, 1–200 characters; lowercase ASCII letters/digits with dot, colon or hyphen separators as specified by the pattern. Copy exactly from sources or search; never split or reconstruct composite-looking IDs.

  Exemple d'appel

  {"name": "get_source_context", "arguments": {"sourceId": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": "texte", "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

• search_vehicle_knowledge≈ 3375 tokens

  Discover public models, existing answers, terms and provenance from free text when no canonical key is known. Use get_model_context, get_answer_context, explain_dutch_vehicle_term or get_source_context for known IDs; compare_vehicle_models for a known model pair; get_fuel_price_context for fuel-source status. Results use deterministic lexical/intent relevance, never AI confidence; no supported match returns data=[] with limitations. Public read-only access; no knowledge writes. Calls consume rate limits.

  Paramètres, retour & exemple (2)

  Paramètres

  • limit · integer · optionnel
    Optional maximum result count; integer 1–10 inclusive, default 5. Fewer or zero results may be returned; this MCP limit differs from other transports.
  • query · string · requis
    Required free-text query, 1–200 raw characters, no ASCII control characters. Use at least two searchable characters after accent/case/punctuation normalization. Dutch terms and model names search the existing index using lexical tokens and intent rules; no semantic generation.

  Exemple d'appel

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

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"data": [], "sources": [], "coverage": {}, "evidence": [], "freshness": {}, "citationUrl": "texte", "limitations": [], "schemaVersion": "texte", "knowledgeVersion": "texte"}}

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Source

https://api.kentekenkompas.nl/mcp