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
基于对工具定义和协议合规性的自动分析。
上下文开销
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)
🟢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
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