io.github.Godzilla-lab/quorum

Est-ce que io.github.Godzilla-lab/quorum est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.Godzilla-lab/quorum » 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 5 outils

• category_warmth≈ 153 tokens

  How much is already held for a category, and therefore whether asking about it is instant and free or slow and expensive. Check this BEFORE starting a report. With no category it lists what is held, so orient here instead of guessing slugs.

  Paramètres, retour & exemple (1)

  Paramètres

  • category · string · optionnel
    The category, for example "running shoes". Omit to list every held category.

  Exemple d'appel

  {"name": "category_warmth", "arguments": {"category": "texte"}}

  Exemple de retour

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

• compare_formats≈ 129 tokens

  Video versus static advertising for a category, computed from how long real ads actually ran rather than from opinion. Returns a verdict, its confidence, and the ads behind it.

  Paramètres, retour & exemple (1)

  Paramètres

  • category · string · requis
    The product category.

  Exemple d'appel

  {"name": "compare_formats", "arguments": {"category": "texte"}}

  Exemple de retour

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

• get_receipt≈ 188 tokens

  Resolve receipt ids to the real records behind them. This is how you CHECK a claim: if an id does not resolve, the claim citing it was not real. Takes one id or many. Long records are truncated with notice; pass full: true for complete text.

  Paramètres, retour & exemple (2)

  Paramètres

  • full · boolean · optionnel
    Return complete record text with no truncation. Default false.
  • receiptIds · array · requis
    Receipt ids, as returned by any other tool. Up to 50.

  Exemple d'appel

  {"name": "get_receipt", "arguments": {"receiptIds": []}}

  Exemple de retour

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

• research_product≈ 250 tokens

  Start collecting evidence on a product or topic from public sources. RETURNS AT ONCE: the harvest runs in the background, the first records land within a minute, and a full run takes minutes. Then call `search_evidence` or `category_warmth` for the same subject after about 30 seconds and keep calling while the counts grow; stop when they stop. Every receipt returned along the way is already a real record. Calling this twice for one subject joins the same run rather than starting another.

  Paramètres, retour & exemple (2)

  Paramètres

  • terms · array · optionnel
    What to ask about: single concepts like "sizing", "durability". Optional.
  • subject · string · requis
    A product name, a topic, or a product URL.

  Exemple d'appel

  {"name": "research_product", "arguments": {"subject": "texte"}}

  Exemple de retour

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

• search_evidence≈ 492 tokens

  Search the retained corpus for what people actually said about a product or topic. Returns how many independent records exist, across how many channels, whether that clears the corroboration threshold, and the loudest few quotes with their receipt ids. Costs nothing and touches no network.

  Paramètres, retour & exemple (9)

  Paramètres

  • after · string · optionnel
    Optional. ISO date (2026-01-31): only records their authors wrote on or after it. Undated records sit inside no window.
  • query · string · requis
    What to look for: "sizing", "battery life", "runs small".
  • before · string · optionnel
    Optional. ISO date: only records written on or before it.
  • phrase · boolean · optionnel
    Optional. Match the words as one ordered phrase, no any word fallback. Build phrases from content words.
  • sources · array · optionnel
    Optional. Only these sources (reddit, appstore, sec-edgar...).
  • category · string · optionnel
    Optional. Narrow to one product category.
  • minChannels · number · optionnel
    Optional. Demand at least this many distinct channels for a finding verdict. Can only demote.
  • sourceClasses · array · optionnel
    Optional. Filter by what kind of speaker: consumer_voice (reddit, reviews...), practitioner (github...), institutional (regulators, filings).
  • excludeSources · array · optionnel
    Optional. Drop these sources, e.g. ["sec-edgar", "cpsc"] to drop the institutional records from a consumer question.

  Exemple d'appel

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

  Exemple de retour

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

C'est votre serveur ?

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Source

https://quorum-api-j15n.onrender.com/mcp