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app.shelfclub/books
serveur MCP (Model Context Protocol) · shelfclub 0.2.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que app.shelfclub/books est sûr ?
Au dernier audit MCP Hub, le serveur MCP « app.shelfclub/books » 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
- find_books_by_mood≈ 978 tokens
Find books in the ShelfClub catalog by mood, vibe, pace and genre tags. At least one tag is needed. Books that carry every requested tag are listed first, most read first; when there are fewer of those than asked for, books that carry some of the tags follow, and `matchAll` says how many of the books returned carry every tag. Each book is returned with its own tags. Returns up to 10 books, each with its ShelfClub id, authors, description, reader rating, series and shelfclub.app link. The tags are machine-generated, or voted for by at least three readers of the book.
Paramètres, retour & exemple (5)
Paramètrespace· string · optionnel · fast | medium | slow
How quickly the story moves.limit· integer · optionnel
How many books to return.moods· array · optionnel
How the book feels to read.vibes· array · optionnel
The kind of reading experience.genres· array · optionnel
Exemple d'appel{"name": "find_books_by_mood", "arguments": {"pace": "fast", "limit": 1, "moods": [], "vibes": [], "genres": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "status": "ok", "hasMore": true, "matchAll": 1, "tagProvenance": "texte", "retryAfterSeconds": 1}} - get_author≈ 873 tokens
Look up an author in the ShelfClub catalog by ShelfClub author id, which get_book returns for the authors of a book. Returns the author's name, biography, birth and death dates and shelfclub.app link. With `include_books`, also returns up to 10 of their books, the most recently published first, each with its ShelfClub id, description, reader rating, series, shelfclub.app link, and mood, vibe, pace and genre tags (machine-generated, or voted for by at least three readers of the book).
Paramètres, retour & exemple (2)
Paramètresid· string · requis
The ShelfClub id of the author, from the `authorLinks` of a get_book result.include_books· boolean · optionnel
Also return up to 10 of the author's books.
Exemple d'appel{"name": "get_author", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "author": {}, "status": "ok", "booksTotal": 1, "tagProvenance": "texte", "retryAfterSeconds": 1}} - get_book≈ 1408 tokens
Look up one book in the ShelfClub catalog, by its ShelfClub id or by ISBN. Returns its description, authors, reader rating, series, an edition (ISBN, page count, publisher, publication date, language), its shelfclub.app link, and its mood, vibe, pace and genre tags (machine-generated, or voted for by at least three readers of the book). A lookup by id also returns the ShelfClub author id of each author that has an author record, and which of the moods, vibes and pace readers of the book voted for, with how many did.
Paramètres, retour & exemple (2)
Paramètresid· string · optionnel
The ShelfClub id of the book, as the other tools return it. Give this or `isbn`, not both.isbn· string · optionnel
An ISBN-10 or ISBN-13, with or without hyphens.
Exemple d'appel{"name": "get_book", "arguments": {"id": "texte", "isbn": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"book": {}, "status": "ok", "tagProvenance": "texte", "retryAfterSeconds": 1}} - get_similar_books≈ 659 tokens
List the books in the ShelfClub catalog whose mood, vibe, pace and genre tags overlap most with those of a given book, chosen from its 10,000 most-read books. The tags are machine-generated, or voted for by at least three readers of the book, and a book that has none has no similar books. Returns up to 10 books, each with its ShelfClub id, authors, description, reader rating, series, tags and shelfclub.app link.
Paramètres, retour & exemple (2)
Paramètresid· string · requis
The ShelfClub id of the book, as the other tools return it.limit· integer · optionnel
How many books to return.
Exemple d'appel{"name": "get_similar_books", "arguments": {"id": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "status": "ok", "tagProvenance": "texte", "retryAfterSeconds": 1}} - get_trending_books≈ 568 tokens
List the books trending on ShelfClub: the books its readers have been shelving come first, then the catalog's most widely read books. Returns up to 10 books, each with its ShelfClub id, authors, description, reader rating, series, shelfclub.app link, and mood, vibe and pace tags (machine-generated, or voted for by at least three readers of the book).
Paramètres, retour & exemple (1)
Paramètreslimit· integer · optionnel
How many books to return.
Exemple d'appel{"name": "get_trending_books", "arguments": {"limit": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "status": "ok", "tagProvenance": "texte", "retryAfterSeconds": 1}} - search_books≈ 667 tokens
Search the ShelfClub book catalog by title or author name. Returns up to 10 books, each with its ShelfClub id, authors, description, reader rating, series, shelfclub.app link, and mood, vibe, pace and genre tags (machine-generated, or voted for by at least three readers of the book).
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnel
How many books to return.query· string · requis
A book title, an author name, or both.
Exemple d'appel{"name": "search_books", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"books": [], "total": 1, "status": "ok", "exactMatch": true, "tagProvenance": "texte", "retryAfterSeconds": 1}}
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