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com.stierproducts/tier-lists
serveur MCP (Model Context Protocol) · stierproducts 1.2.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que com.stierproducts/tier-lists est sûr ?
Au dernier audit MCP Hub, le serveur MCP « com.stierproducts/tier-lists » 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
- compare_products≈ 300 tokens
Compare two to five products side by side. They must share a category: LP is points on one category ladder and comparing across boards is meaningless, so a mixed request is refused rather than answered misleadingly.
Paramètres, retour & exemple (1)
Paramètresslugs· array · requis
Product slugs to compare.
Exemple d'appel{"name": "compare_products", "arguments": {"slugs": []}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"note": "texte", "license": {}, "category": {}, "products": [], "source_url": "texte", "attribution": "texte", "monetization": {}}} - get_product≈ 538 tokens
Everything held on one product: its placement, verdict, pros and cons, GTIN barcodes, the announcement date where the maker published one, and a breakdown of how the cited sources read (how many were glowing, positive, neutral or negative, and whether they were outlets, named authors, video channels or forum owners). Then every citation in full, with a verbatim quote, who said it, and whether the link was fetched and confirmed. Use this when a claim needs backing up.
Paramètres, retour & exemple (3)
Paramètresslug· string · requis
Product slug, e.g. "bambu-lab-x2d".citation_limit· integer · optionnel
How many citations to return, most notable first. The sentiment and speaker breakdowns always count every source regardless of this.citation_offset· integer · optionnel
Skip this many citations. Use it to page through the rest.
Exemple d'appel{"name": "get_product", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"license": {}, "product": {}, "category": {}, "citations": [], "sentiment": {}, "source_url": "texte", "attribution": "texte", "speaker_mix": {}, "monetization": {}, "citations_shown": 1, "citations_total": 1, "citations_offset": 1}} - get_tier_list≈ 393 tokens
The full S-to-F tier list for one category: every ranked product with its tier, rank, LP, verdict, pros, cons, citation counts, GTIN barcodes and, where the maker published one, the announcement date. This is the primary tool and one call answers a "what is the best X" question completely. Call get_product for the quotes behind a placement.
Paramètres, retour & exemple (2)
Paramètrestier· string · optionnel · S | A | B | C | D | F
Optional. Return only this tier.category· string · requis
Category slug, e.g. "3d-printers".
Exemple d'appel{"name": "get_tier_list", "arguments": {"category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"method": "texte", "license": {}, "summary": "texte", "category": {}, "products": [], "source_url": "texte", "attribution": "texte", "monetization": {}, "tier_meanings": {}, "products_ranked": 1}} - list_categories≈ 243 tokens
List the product categories that have a published tier list, newest research first. Call this first when you do not already know the exact category slug: slugs cannot be guessed reliably and every other tool takes one.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnelquery· string · optionnel
Optional filter matched against the category name and description.
Exemple d'appel{"name": "list_categories", "arguments": {"limit": 1, "query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "license": {}, "categories": [], "source_url": "texte", "attribution": "texte", "monetization": {}}} - search_products≈ 298 tokens
Find ranked products by name or brand across every board. Returns the slug, category and tier for each match, which is what get_product and get_tier_list need next.
Paramètres, retour & exemple (2)
Paramètreslimit· integer · optionnelquery· string · requis
Product or brand name, e.g. "Bambu Lab X2D".
Exemple d'appel{"name": "search_products", "arguments": {"query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"query": "texte", "license": {}, "matches": 1, "products": [], "source_url": "texte", "attribution": "texte", "monetization": {}}} - what_to_avoid≈ 320 tokens
The products the research placed in the bottom tiers, and the ones it deliberately entered as traps buyers cross-shop but should not buy. Use it to answer "what should I not buy" and to check whether a product a user is considering was flagged.
Paramètres, retour & exemple (1)
Paramètrescategory· string · requis
Category slug, e.g. "3d-printers".
Exemple d'appel{"name": "what_to_avoid", "arguments": {"category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"license": {}, "category": {}, "products": [], "source_url": "texte", "attribution": "texte", "monetization": {}, "flagged_count": 1, "bottom_tier_count": 1}}
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