Check Amazon listing compliance and generate AI-optimized product listings for better recommendations.
Hosted MCP server for Amazon sellers. Scores listings for AI readiness (Rufus, COSMO), checks compliance against Amazon policies, generates optimized titles and descriptions, drafts appeals for violations, and analyzes negative reviews. Some tools are free; others require API key and credits.
Try asking Muse: "Check if my product listing will be recommended by Amazon's AI shopping assistant."
Source: Found in the official MCP Registry (io.github.ryanyang828/listinggood) · First listed September 25, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://listinggood.com/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Response time at the last check: 2335ms. Worked in 100% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
ai_readiness_checkScore 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 (compliaagent_ready_checkScore 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, recommendedcompliance_checkQuick 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 reporcompliance_scanDeep 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 repgenerate_poaDraft 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 analyze_reviewAnalyze 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 genefill_from_sentenceExpand 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 generate_listingGenerate 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 mhttps://listinggood.com/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use ListingGood MCP to help me. It is a free service with an MCP server at https://listinggood.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (September 28, 2026, 08:01 UTC) the endpoint was working, answering in 2335ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 25, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 8 tools, including ai_readiness_check, agent_ready_check, compliance_check, compliance_scan. For example, you could ask Muse: "Check if my product listing will be recommended by Amazon's AI shopping assistant."
This listing was added from public sources (Found in the official MCP Registry (io.github.ryanyang828/listinggood)). If you build ListingGood MCP, claim it to correct the details and get your badge.
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