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io.github.ryanyang828/listinggood
serveur MCP (Model Context Protocol) · listinggood 1.9.4
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.ryanyang828/listinggood est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.ryanyang828/listinggood » 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.
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Les 8 outils
- agent_ready_check≈ 316 tokens
Score whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era). Platform-agnostic: works for Amazon, Shopify, Walmart, TikTok Shop or any storefront that AI shopping assistants may read. Use it when a user asks whether their product will be found, recommended, or auto-purchased by an AI agent. Fully local, deterministic rule engine — no API key, no credits, no network call. Returns four dimensions: structured attributes, entity clarity, trust & compliance, and agent actionability, plus ranked fixes. Args: text: raw product copy — title plus bullets/description (required). platform: amazon | shopify | walmart | tiktok | generic | auto (default auto-detected). lang: en or zh for the report language (default en).
Paramètres, retour & exemple (3)
Paramètreslang· string · optionneltext· string · requisplatform· string · optionnel
Exemple d'appel{"name": "agent_ready_check", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - ai_readiness_check≈ 352 tokens
Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.
Paramètres, retour & exemple (4)
Paramètreslang· string · optionneltext· string · requisemail· string · optionnelmarketplace· string · optionnel
Exemple d'appel{"name": "ai_readiness_check", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - analyze_review≈ 266 tokens
Analyze a negative Amazon review for root cause and a suggested response (async; 2 credits). Extracts the underlying issue from a critical review and drafts a brand-appropriate response angle. Use this after a negative review appears, to decide how to reply. Do NOT use it to generate a listing or an appeal - use generate_listing or generate_poa for those. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: the negative review text (required). marketplace: marketplace code (default US). lang: zh or en (default en).
Paramètres, retour & exemple (3)
Paramètreslang· string · optionneltext· string · requismarketplace· string · optionnel
Exemple d'appel{"name": "analyze_review", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - compliance_check≈ 259 tokens
Quick pre-publish compliance gate before generating a listing. Fast, free scan for obvious red-line words and category risks. Returns a shallow pass/fail-style result, not a full audit. Use this as a cheap pre-check right before generation. Do NOT use it for a complete risk report - use compliance_scan for the deep knowledge-base audit. Read-only; requires an API key; no credits deducted. Args: text: listing copy (required). lang: zh or en (default en). category: optional category hint, e.g. electronics or apparel.
Paramètres, retour & exemple (3)
Paramètreslang· string · optionneltext· string · requiscategory· string · optionnel
Exemple d'appel{"name": "compliance_check", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - compliance_scan≈ 339 tokens
Deep knowledge-base compliance audit (async; 2 credits). Produces a thorough, written risk report covering prohibited words, IP, category mismatches, GPSR and more, backed by a private 15-year compliance knowledge base. Use this when you need a complete, actionable compliance report. Do NOT use it for a quick pre-publish check - use compliance_check for that. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: listing title/bullets/description (required). marketplace: marketplace code (default US). category: optional category hint. lang: zh or en (default en). images: optional list of up to 5 data:image base64 strings, each < 4MB.
Paramètres, retour & exemple (5)
Paramètreslang· string · optionneltext· string · requisimages· array · optionnelcategory· string · optionnelmarketplace· string · optionnel
Exemple d'appel{"name": "compliance_scan", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - fill_from_sentence≈ 244 tokens
Expand a one-sentence product description into structured listing fields (free; API key; no credits). Turns casual, spoken product copy into structured fields (title, bullets, features) that feed the listing generator. Use this as a low-friction starting point when you only have a rough sentence. Do NOT use it to produce a final optimized listing - use generate_listing for that. Read-only; free; no credits deducted. Args: sentence: one-sentence product description, 4-1000 characters (required). lang: zh or en (default en).
Paramètres, retour & exemple (2)
Paramètreslang· string · optionnelsentence· string · requis
Exemple d'appel{"name": "fill_from_sentence", "arguments": {"sentence": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - generate_listing≈ 314 tokens
Generate a high-conversion Amazon listing - title + bullets + description (async; 1 credit per marketplace). Produces A9-optimized copy that respects per-marketplace character limits. Use this to create a full listing from product facts. Not free - deducts 1 credit per selected marketplace and runs asynchronously, poll for the result. Read-only: it drafts text and does not publish. Args: cn_name: product Chinese name (required). sku: product SKU (required). marketplaces: optional list of marketplace codes; defaults to all 9. price: optional product price. lang: zh or en (default en).
Paramètres, retour & exemple (5)
Paramètressku· string · requislang· string · optionnelprice· string · optionnelcn_name· string · requismarketplaces· array · optionnel
Exemple d'appel{"name": "generate_listing", "arguments": {"sku": "texte", "cn_name": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - generate_poa≈ 288 tokens
Draft a submission-ready Plan of Action (POA) from an Amazon violation notice (async; 4 credits). Converts a suspension or removal email into a structured POA appeal. Use this when a listing or account is suppressed. Not free - deducts 4 credits and runs asynchronously, poll for the result. Read-only: it drafts text and does not submit anything to Amazon. Args: text: violation notice or removal email text (required). marketplace: marketplace code (default US). lang: zh or en (default en). violation_type: optional, e.g. ip_complaint / authenticity / policy.
Paramètres, retour & exemple (4)
Paramètreslang· string · optionneltext· string · requismarketplace· string · optionnelviolation_type· string · optionnel
Exemple d'appel{"name": "generate_poa", "arguments": {"text": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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