What is the ListingGood MCP remote MCP server?
The ListingGood MCP remote MCP server is a hosted Model Context Protocol endpoint at https://listinggood.com/mcp, so AI assistants can connect to it without installing or running anything locally.

@DedeGroup
Basic information
Transport
streamable-http
Authentication
Check provider docs
Category
Productivity
Author
DedeGroup
Submitted by
listinggood
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):
https://listinggood.com/mcpclaude mcp add listinggood-mcp --transport http https://listinggood.com/mcpScore 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).
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:
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。
| 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 |
エンドポイント(ストリーム可能 HTTP):
Connect an MCP-compatible client to https://listinggood.com/mcp using the authentication documented by the service.
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). CoThe ListingGood MCP remote MCP server is a hosted Model Context Protocol endpoint at https://listinggood.com/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://listinggood.com/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Authentication requirements for ListingGood MCP have not been confirmed in this listing. Check the provider’s documentation before connecting.
ListingGood MCP exposes a streamable-http endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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