ListingGood MCP

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

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
80%
命名质量
88%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,957token 数(工具定义)
~871 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.53%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

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

远程端点

https://listinggood.com/mcpstreamable-http

它能做什么

工具清单

工具(8)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢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.

输入模式

{
  "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).

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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).

输入模式

{
  "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).

输入模式

{
  "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).

输入模式

{
  "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"
}

社区

评价此服务器

证据

最近观测

已验证未记录版本8 个工具
已验证未记录版本8 个工具