com.wikexa/knowledge

Est-ce que com.wikexa/knowledge est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.wikexa/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 6 outils

• article≈ 243 tokens

  The full text of an article, for when lookup()'s summary is not enough — sections as a JSON array, infobox as key/value facts, no HTML or wikitext to parse. Pass `sections` to pull only the parts you need (e.g. ["Early life"]) and `max_chars` to cap the payload; both exist because a long article will otherwise flood your context.

  Paramètres, retour & exemple (4)

  Paramètres

  • title · string · requis
    Article title, alias, or Q-id.
  • corpus · string · optionnel · wikipedia | wikiquote | wikibooks | wikivoyage | wikiversity
    Which corpus to read from. Defaults to wikipedia.
  • sections · array · optionnel
    Optional section names to include (substring match, case-insensitive). Omit for the whole article.
  • max_chars · integer · optionnel
    Optional cap on total section text returned.

  Exemple d'appel

  {"name": "article", "arguments": {"title": "texte"}}

  Exemple de retour

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

• define≈ 268 tokens

  What a word means, in thousands of languages — 8.15M dictionary entries with senses, part of speech, etymology and pronunciation. Covers what a general model is weakest at: historical languages (Old English, Gothic, Ancient Greek, Middle French) and hundreds of regional and indigenous ones. A single spelling often has entries in many languages and you get all of them — `hund` returns Danish, Gothic, Icelandic, Middle English and more — or pass `language` to narrow, `pos` for one part of speech. Use this for words and lookup() for things: define("java") gives the word in eight languages, lookup("Java") gives the island.

  Paramètres, retour & exemple (3)

  Paramètres

  • pos · string · optionnel
    Optional part of speech filter, e.g. "Noun", "Verb", "Adjective".
  • word · string · requis
    The word or phrase to define.
  • language · string · optionnel
    Optional language name as Wiktionary spells it, e.g. "English", "Latin", "Spanish".

  Exemple d'appel

  {"name": "define", "arguments": {"word": "texte"}}

  Exemple de retour

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

• lookup≈ 242 tokens

  Facts about any named thing — person, company, place, species, event, concept. Returns structured fields (dates, identifiers, relationships) plus a ~200-token summary, drawn from 10.2M entity records. Prefer this over fetching an encyclopedia page: the HTML costs ~15,000 tokens to recover ~500 tokens of fact. Resolves aliases and Wikidata Q-ids, so "Apple", "Apple Inc" and "Q312" all reach the same entity. Free, no key.

  Paramètres, retour & exemple (2)

  Paramètres

  • corpus · string · optionnel · wikipedia | wikiquote | wikibooks | wikivoyage | wikiversity
    Which corpus to look in. Defaults to wikipedia. Use wikivoyage for travel guides, wikiquote for quotations, wikibooks for textbooks, wikiversity for course material.
  • entity · string · requis
    Entity name, Wikipedia title, alias, or Wikidata Q-id (e.g. "Tim Cook", "Q312").

  Exemple d'appel

  {"name": "lookup", "arguments": {"entity": "texte"}}

  Exemple de retour

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

• papers≈ 303 tokens

  Academic paper metadata from 57M+ works — title, abstract, authors, citations, DOI and open access URL. Covers every field: CS, medicine, physics, economics, biology, and more. Search by keywords (e.g. "transformer attention"), by topic name (e.g. "machine learning"), or by OpenAlex topic ID. Returns papers sorted by citation count. Source: OpenAlex (CC0 metadata). Use this when the user needs scholarly references, citation counts, or research context that Wikipedia does not cover.

  Paramètres, retour & exemple (4)

  Paramètres

  • year · integer · optionnel
    Publication year to filter on, e.g. 2023.
  • limit · integer · optionnel
    Maximum papers to return, 1-20 (default 5).
  • query · string · optionnel
    Keywords to search for. Matches topic names to find the right research area, then filters by title and abstract. Example: "transformer attention", "CRISPR gene editing".
  • topic · string · optionnel
    Topic name or OpenAlex topic ID. Names are resolved automatically (e.g. "machine learning" → T10135). Use an ID like "T10135" if you already know it. Optional — query alone works.

  Exemple d'appel

  {"name": "papers", "arguments": {"year": 1, "limit": 1, "query": "texte", "topic": "texte"}}

  Exemple de retour

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

• recent≈ 192 tokens

  What changed in the last hours or days — the escape hatch for facts newer than your training cutoff. Reach for this whenever the answer could have moved since you were trained: elections, appointments, acquisitions, releases, deaths, records. Returns titles with timestamps and edit comments; resolve any of them with lookup(). Pass `topic` to filter and `hours` to widen the window up to a week.

  Paramètres, retour & exemple (3)

  Paramètres

  • hours · integer · optionnel
    Look-back window in hours, 1-168 (default 24).
  • limit · integer · optionnel
    Maximum changes, 1-100 (default 25).
  • topic · string · optionnel
    Optional case-insensitive filter on title or edit comment.

  Exemple d'appel

  {"name": "recent", "arguments": {"hours": 1, "limit": 1, "topic": "texte"}}

  Exemple de retour

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

• search≈ 262 tokens

  Find the right title when you only have a partial name or a rough description. Returns ranked {title, wikidata_id, description, summary_snippet}; ranking blends text relevance with monthly pageviews and follows redirects, so abbreviations land on the real article — "usa" returns United States, "jfk" returns John F. Kennedy, "apple" returns Apple Inc. rather than a disambiguation page. Searches every corpus at once unless you pass `corpus`. Follow up with lookup() for facts or article() for the text.

  Paramètres, retour & exemple (3)

  Paramètres

  • limit · integer · optionnel
    Maximum results, 1-50 (default 10).
  • query · string · requis
    Free-text search query.
  • corpus · string · optionnel · wikipedia | wiktionary | wikiquote | wikibooks | wikivoyage | wikiversity
    Restrict to one corpus. Omit to search all of them at once, which is usually what you want when you do not know where the answer is.

  Exemple d'appel

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

  Exemple de retour

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

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Source

https://wikexa.com/mcp