accueil / serveurs / Recherche & Web / com.valksor/latin
com.valksor/latin
serveur MCP (Model Context Protocol) · latin 2.1.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que com.valksor/latin est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.valksor/latin » 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 3 outils
- latin_get_inflections≈ 1668 tokens
Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
Paramètres, retour & exemple (2)
Paramètresentry_id· string · requis
The Wiktionary page title (the lemma) from a search result's inflection handle, e.g. 'amo', 'aqua'.word_class· string · requis · abbreviation | acronym | adjective | adverb | affix | article | character | circumfix
The part-of-speech section from a search result's inflection handle, e.g. 'verb', 'noun', 'adjective'.
Exemple d'appel{"name": "latin_get_inflections", "arguments": {"entry_id": "texte", "word_class": "abbreviation"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"result": "texte"}} - latin_lemmatize≈ 586 tokens
Analyze one inflected Latin form with the Morpheus morphological analyzer: its lemma(s) plus the grammatical reading (person, number, tense, mood, voice, case…). Useful when you want the morphology itself — for the dictionary entry, latin_search already resolves inflected queries on its own. Returns Markdown plus the analysis as structuredContent matching the declared outputSchema. Results are cached server-side. Analyses via the Perseids Morpheus service.
Paramètres, retour & exemple (1)
Paramètresword· string · requis
One inflected Latin word form to analyze, e.g. 'amavit', 'aquam'. Macrons optional.
Exemple d'appel{"name": "latin_lemmatize", "arguments": {"word": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"word": "texte", "found": true, "source": "texte", "analyses": []}} - latin_search≈ 3828 tokens
Look a Latin word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content, not invented. Any form of the word works; an inflected query is resolved to its lemma automatically (via previously cached paradigms or the Morpheus analyzer) and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Latin equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
Paramètres, retour & exemple (4)
Paramètresquery· string · requis
The word to look up, in the language search_language names. Latin (default): a SINGLE word, any form — an inflected form ('amavit') is resolved to its lemma ('amo') automatically, and the result names it (search_method tells you how; resolved_lemma is the lemma to follow for the full paradigm); macrons are optional ('amo' and 'amō' both work). English (search_language='eng'): the English word whose Latin equivalents you want — multiword entries like 'give up' work.max_forms· ? · optionnel
Optional override for how many inflection tables to expand this call (0–12). On an uncached query each table is one politely paced upstream fetch, so high values on cold queries are slow. Omit for the server default.include_forms· boolean · optionnel
When true (default), each match's full declension/conjugation table is returned INLINE — usable cases/tenses in ONE call, no follow-up latin_get_inflections. Set false for a cheap screen of which entries exist. Bounded by a per-search cap — use max_forms to adjust per call. For eng queries this governs the expanded Latin entries; the per-sense translations list itself is always returned.search_language· ? · optionnel
Language the query word is in: 'lat' (default) looks the Latin word up directly; 'eng' finds the Latin equivalents of an English word (per-sense, from Wiktionary's translation tables) and returns their full entries. Glosses are in English either way.
Exemple d'appel{"name": "latin_search", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"found": true, "query": "texte", "source": "texte", "entries": [], "handles": [], "language": "texte", "translations": [], "resolved_from": "texte", "search_method": "direct", "resolved_lemma": "texte", "forms_truncated": 1, "translations_truncated": 1}}
C'est votre serveur ?
Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».