ListingGood MCP 远程 MCP 服务器是什么?
ListingGood MCP 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://listinggood.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
ListingGood MCP Server已验证已精选
@DedeGroup
基本信息
关于 ListingGood MCP Server
ListingGood AI Recommendation Engine — a hosted MCP server + Claude/Cursor skills that make Amazon's AI recommend your products. Free no-login scan: https://listinggood.com/scan Get API key: https://listinggood.com/developers Use cases: - Free AI-readability & compliance scan for Amazon listings - One-click listing generation optimized for Amazon A9 + AI shopping agents - GEO-ready structured data for ChatGPT / Gemini / Perplexity catalog filters # ListingGood AI Recommendation Engine（日本語） **Amazon の AI に、あなたの商品を推薦させる。** Make AI recommend your products. ListingGood は、Amazon セラーの商品データを「AI ショッピングエージェント（ChatGPT / Gemini / Claude など）」が読み取り・推薦できる形に整えるエンジンです。A9 検索最適化だけでなく、AI カタログの選定基準もクリアします。 ## 特徴 - 商品文を AI が読みやすい構造に変換（GEO 対応） - Amazon コンプライアンス事前チェック（違禁語・知的財産・カテゴリ錯誤） - 日本站（Amazon.co.jp）向け JCT インボイス・PSE・ACP 対応診断 - 無料の AI 推薦対応度スコア（AI Readiness Score） ## ツール一覧（7 ツール） | ツール | 説明 | |---|---| | `ai_readiness_check` | 商品が AI に推薦されやすいかを診断（AI Readiness Score を返す） | | `compliance_check` | コンプライアンス事前チェック（無料・違禁語/知財/カテゴリ） | | `compliance_scan` | ディープコンプライアンス診断（段落ごと判定・修正提案） | | `generate_listing` | 高転換 Amazon Listing を生成（タイトル+5点+説明） | | `fill_from_sentence` | 一文の商品説明から Listing 項目を自動入力 | | `generate_poa` | アカウント停止・知的財産苦情への POA（改善計画）を生成 | | `analyze_review` | 低評価レビューの根本原因を分析・挽回策を提示 | ## 接続方法 エンドポイント（ストリーム可能 HTTP）：
连接信息
https://listinggood.com/mcp接入方式
claude mcp add listinggood-mcp --transport http https://listinggood.com/mcpListingGood MCP Server 工具
8Score 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.
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).
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.
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.
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.
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).
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).
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).
概览
What is ListingGood MCP?
ListingGood AI Recommendation Engine — a hosted MCP server + Claude/Cursor skills that make Amazon's AI recommend your products.
Free no-login scan: https://listinggood.com/scan Get API key: https://listinggood.com/developers
Use cases:
- Free AI-readability & compliance scan for Amazon listings
- One-click listing generation optimized for Amazon A9 + AI shopping agents
- GEO-ready structured data for ChatGPT / Gemini / Perplexity catalog filters
Amazon の AI に、あなたの商品を推薦させる。 Make AI recommend your products.
ListingGood は、Amazon セラーの商品データを「AI ショッピングエージェント（ChatGPT / Gemini / Claude など）」が読み取り・推薦できる形に整えるエンジンです。A9 検索最適化だけでなく、AI カタログの選定基準もクリアします。
特徴
- 商品文を AI が読みやすい構造に変換（GEO 対応）
- Amazon コンプライアンス事前チェック（違禁語・知的財産・カテゴリ錯誤）
- 日本站（Amazon.co.jp）向け JCT インボイス・PSE・ACP 対応診断
- 無料の AI 推薦対応度スコア（AI Readiness Score）
ツール一覧（7 ツール）
| ツール | 説明 |
|---|---|
ai_readiness_check | 商品が AI に推薦されやすいかを診断（AI Readiness Score を返す） |
compliance_check | コンプライアンス事前チェック（無料・違禁語/知財/カテゴリ） |
compliance_scan | ディープコンプライアンス診断（段落ごと判定・修正提案） |
generate_listing | 高転換 Amazon Listing を生成（タイトル+5点+説明） |
fill_from_sentence | 一文の商品説明から Listing 項目を自動入力 |
generate_poa | アカウント停止・知的財産苦情への POA（改善計画）を生成 |
analyze_review | 低評価レビューの根本原因を分析・挽回策を提示 |
接続方法
エンドポイント（ストリーム可能 HTTP）：
How to use ListingGood MCP?
Connect an MCP-compatible client to https://listinggood.com/mcp using the authentication documented by the service.
Tools
ai_readiness_check— Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-basagent_ready_check— Score whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era). Platform-agnostcompliance_check— Quick pre-publish compliance gate before generating a listing. Fast, free scan for obvious red-linecompliance_scan— Deep knowledge-base compliance audit (async; 2 credits). Produces a thorough, written risk report cogenerate_poa— Draft a submission-ready Plan of Action (POA) from an Amazon violation notice (async; 4 credits). Co
Documentation
常见问题
怎么连接 ListingGood MCP 的 MCP 服务器?
把端点 https://listinggood.com/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
ListingGood MCP 的 MCP 服务器需要认证吗?
此收录尚未确认 ListingGood MCP 的认证要求。连接前请查阅提供方文档。
ListingGood MCP 的 MCP 服务器用的是哪种传输方式?
ListingGood MCP 暴露的是 streamable-http 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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