ListingGood MCP

by DedeGroup

Recommended SSE
1 stars
464 downloads
Not rated
GitHub Website

About

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/deve

Details

Author
DedeGroup
GitHub stars
1
Downloads
464
Transport
SSE
Categories
Productivity, AI, Security

- 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.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name ListingGood MCP
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

ai_readiness_check

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.

compliance_check

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.

compliance_scan

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.

generate_poa

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_review

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).

fill_from_sentence

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_listing

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).

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "listinggood mcp": {
            "listinggood-mcp": {
                "type": "http",
                "transport": "streamable-http",
                "authentication": {
                    "type": "apiKey",
                    "instructions": "Get your API key at https://listinggood.com/developers"
                },
                "url": "https://listinggood.com/mcp"
            }
        }
    }
}

McpServers

{
    "listinggood-mcp": {
        "type": "http",
        "transport": "streamable-http",
        "authentication": {
            "type": "apiKey",
            "instructions": "Get your API key at https://listinggood.com/developers"
        },
        "url": "https://listinggood.com/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
No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.