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ListingGood MCPVerifiedFeatured

@DedeGroup

About 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

Connection details

https://listinggood.com/mcp

Setup

claude mcp add listinggood-mcp --transport http https://listinggood.com/mcp

Tools

7

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.

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).

Overview

Make Amazon's AI recommend your products. ListingGood is an MCP server + Claude/Cursor skills pack that turns any Amazon listing into something AI shopping agents (and A9) can read, trust, and surface.

What is it?

ListingGood AI Recommendation Engine helps Amazon sellers get recommended by Amazon's own AI — and by ChatGPT, Gemini, and other shopping agents. It combines:

  • A compliance & AI-readability check (free, zero token cost)
  • AI listing writing (titles, bullets, descriptions) tuned for A9 + AI catalogs
  • Appeal / POA rescue for suspensions and takedowns

The MCP server exposes these capabilities to Claude Desktop, Cursor, and other MCP clients so you can optimize listings directly inside your agent workflow.

How to use

  1. Get a free API key at https://listinggood.com/developers
  2. Connect the MCP server in your client:
    • Streamable HTTP: https://listinggood.com/mcp
    • Auth: API key (header Authorization: Bearer <YOUR_KEY>)
  3. Ask your agent to "check my listing for AI recommendation readiness" or "rewrite these bullets for Amazon EU".

🚀 Try the free check now (no signup needed): https://listinggood.com/scan

Key features

  • AI Recommendation Readiness Score — one number showing how likely Amazon's AI is to recommend your product.
  • Compliance & AI-readability check — detects policy risks and AI-unreadable copy. Free, zero token cost.
  • AI listing writing — titles, bullets, A+ style descriptions for US / UK / EU / JP.
  • Appeal & POA rescue — suspension and takedown recovery frameworks.
  • MCP + Skills — works inside Claude Desktop, Cursor, and Windsurf.

Use cases

  • Sellers who want their products surfaced by Amazon's AI and ChatGPT/Gemini shopping agents.
  • Agencies managing listings across multiple marketplaces and clients.
  • Founders validating listing quality before launch.

Pricing

Free tier: unlimited compliance & AI-readability checks. Paid plans start at $10/mo for AI writing and POA generation.

FAQ

Do I need an Amazon seller account?

No. The free check works with any product title and bullet points. AI writing supports all major Amazon marketplaces.

How much does it cost?

Free tier includes unlimited compliance & AI-readiness checks. Paid plans start at $10/mo for AI writing and POA generation.

Which clients are supported?

Claude Desktop, Cursor, and any MCP-compatible client (Streamable HTTP transport).

Where do I get an API key?

https://listinggood.com/developers

Frequently asked questions

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.

How do I connect to the ListingGood MCP MCP server?

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.

Does the ListingGood MCP MCP server require authentication?

No. ListingGood MCP's MCP server does not require authentication — you can connect directly with the endpoint URL.

Which transport does the ListingGood MCP MCP server use?

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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