ai.sharebench/registry

Est-ce que ai.sharebench/registry est sûr ?

Au dernier audit MCP Hub, le serveur MCP « ai.sharebench/registry » 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_by_id≈ 414 tokens

  Fetch the full SKILL.md content and metadata for a single artifact. Provide EXACTLY ONE of `artifactId` (the UUID returned by `search`) or `slug` (the URL-safe identifier, e.g. from a `/p/<slug>` link). Passing both or neither returns a `validation_failed` error. Use this after `search` to retrieve the body of a hit the user wants to read, summarize, apply, or fork. Returns the artifact's name, description, type, contributor, version, timestamps, the full SKILL.md text (YAML frontmatter + markdown body, up to 256 KB), the number of bundled extras (`bundledCount`), their filenames (`bundledFilenames`), per-file metadata in `bundledFiles` (each entry has `key`, `filename`, and `originalRef` — the EXACT body-relative reference string the importer matched, or `null` when the file was bundled without a body reference; use this to translate a link span in the body back to its bundle filename), and the public-surface fields `slug`, `authorCredit`, `industries`. To fetch a bundled extra, read it as a resource at `artifact://<artifactId>/bundled/<filename>`.

  Paramètres, retour & exemple (2)

  Paramètres

  • slug · string · optionnel
    URL slug for the artifact (e.g. `brand-voice`). Take this from the `slug` field of a `search` result or a /p/<slug> link. Mutually exclusive with `artifactId`.
  • artifactId · string · optionnel
    UUID of the artifact. Take this from the `artifactId` field of a `search` result. Mutually exclusive with `slug`.

  Exemple d'appel

  {"name": "get_by_id", "arguments": {"slug": "texte", "artifactId": "texte"}}

  Exemple de retour

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

• search≈ 531 tokens

  Search this workspace's published artifacts (skills, agents, workflows, and knowledge documents in SKILL.md format). Returns ranked metadata — name, description, type, contributor, timestamps, bundledCount, slug, authorCredit, and industries — but NOT the full body. To read an artifact's content, call `get_by_id` with the returned `artifactId` (or `slug`), or read it as a resource at `artifact://<artifactId>`. Use this whenever the user wants to find, discover, browse, or filter existing artifacts before reading or contributing. Modes: `hybrid` (default; combines lexical and semantic ranking via reciprocal rank fusion — best for most queries), `bm25` (exact-keyword or name lookups), `semantic` (concept matching when the user's terms differ from artifact text). Pass `industries: ['marketing', 'legal']` to narrow results to artifacts tagged with ANY of those industries (keyword-array overlap). If hybrid silently degrades because the embedding service is unavailable, the response's `warnings` array will contain `embedding_degraded:hybrid-fell-back-to-bm25` — surface this to the user if precision matters.

  Paramètres, retour & exemple (6)

  Paramètres

  • mode · string · optionnel · hybrid | bm25 | semantic
    Ranking strategy. Default: hybrid.
  • type · string · optionnel · skill | agent | workflow | knowledge
    Filter by artifact category. Omit for all types.
  • limit · integer · optionnel
    Maximum hits to return. Default: 20.
  • query · string · requis
    Free-text query. Names, phrases, or natural-language concepts.
  • offset · integer · optionnel
    Pagination offset for navigating result sets.
  • industries · array · optionnel
    Filter to artifacts tagged with ANY of these industry slugs (keyword-array overlap). Up to 5 values.

  Exemple d'appel

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

  Exemple de retour

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

C'est votre serveur ?

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Source

https://mcp-public.sharebench.ai