ListingGood MCP

Get recommended by Amazon's AI. Hosted MCP server for Amazon listing compliance & generation.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
80%
Qualität der Benennung
88%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,957Tokens (Tool-Definitionen)
~871 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.53% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "listinggood": {
      "url": "https://listinggood.com/mcp"
    }
  }
}

Remote-Endpunkte

https://listinggood.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (8)

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🟢ai_readiness_check(text, marketplace, lang, email)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "marketplace": {
      "default": "US",
      "title": "Marketplace",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    },
    "email": {
      "default": "",
      "title": "Email",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "ai_readiness_checkArguments"
}
🟢agent_ready_check(text, platform, lang)

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).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "platform": {
      "default": "auto",
      "title": "Platform",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "agent_ready_checkArguments"
}
🟡compliance_check(text, lang, category)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    },
    "category": {
      "default": "",
      "title": "Category",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "compliance_checkArguments"
}
🟡compliance_scan(text, marketplace, category, lang, images)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "marketplace": {
      "default": "US",
      "title": "Marketplace",
      "type": "string"
    },
    "category": {
      "default": "",
      "title": "Category",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    },
    "images": {
      "default": null,
      "items": {},
      "title": "Images",
      "type": "array"
    }
  },
  "required": [
    "text"
  ],
  "title": "compliance_scanArguments"
}
🟡generate_poa(text, marketplace, lang, violation_type)

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.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "marketplace": {
      "default": "US",
      "title": "Marketplace",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    },
    "violation_type": {
      "default": "",
      "title": "Violation Type",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "generate_poaArguments"
}
🟢analyze_review(text, marketplace, lang)

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).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "text": {
      "title": "Text",
      "type": "string"
    },
    "marketplace": {
      "default": "US",
      "title": "Marketplace",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "text"
  ],
  "title": "analyze_reviewArguments"
}
🟢fill_from_sentence(sentence, lang)

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).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "sentence": {
      "title": "Sentence",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "sentence"
  ],
  "title": "fill_from_sentenceArguments"
}
🟡generate_listing(cn_name, sku, marketplaces, price, lang)

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).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "cn_name": {
      "title": "Cn Name",
      "type": "string"
    },
    "sku": {
      "title": "Sku",
      "type": "string"
    },
    "marketplaces": {
      "default": null,
      "items": {},
      "title": "Marketplaces",
      "type": "array"
    },
    "price": {
      "default": "",
      "title": "Price",
      "type": "string"
    },
    "lang": {
      "default": "en",
      "title": "Lang",
      "type": "string"
    }
  },
  "required": [
    "cn_name",
    "sku"
  ],
  "title": "generate_listingArguments"
}

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verifiziertVersion nicht aufgezeichnet8 Tools
verifiziertVersion nicht aufgezeichnet8 Tools