ListingGood MCP
Get recommended by Amazon's AI. Hosted MCP server for Amazon listing compliance & generation.
| Endpoint | https://listinggood.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 8 tools · grade A (93) · pin ts_460443e158d9337f501b4d99d68b8285 · protocol 2025-03-26 |
| First / last listed | 2026-10-28 03:34 UTC / 2026-10-28 03:34 UTC |
| Grade over time | 2026-10-28: A (93), 8 tools |
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Tools: ai_readiness_check agent_ready_check compliance_check compliance_scan generate_poa analyze_review fill_from_sentence generate_listing
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 gener params: text*, marketplace, lang, email |
agent_ready_check | 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, n params: text*, platform, lang |
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 cred params: text*, lang, category |
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 params: text*, marketplace, category, lang, images |
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: viol params: text*, marketplace, lang, violation_type |
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 cred params: text*, marketplace, lang |
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.
R params: sentence*, lang |
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.
params: cn_name*, sku*, marketplaces, price, lang |
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