ListingGood — AI Recommendation Engine (Skills + MCP)
MCP serverDev toolslistinggood helps your AI create Amazon product listings and check them against Amazon's rules, with the goal of getting products recommended by Amazon's AI. It is hosted for you, so there is nothing to run or maintain on your end. Once added, your AI can draft new listings or review existing ones for compliance.
Use ListingGood — AI Recommendation Engine (Skills + MCP) in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add ListingGood — AI Recommendation Engine (Skills + MCP) and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the ai readiness check tool from ListingGood
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Details
Available today. Use it from your connected AI after setup.
No key or account is asked for. Not verified by us yet: Ahel has not run a call through it.
Add listinggood, then ask your AI to draft or review an Amazon listing for one of your products. More information is available in the repository at github.com/ryanyang828/listinggood-skills.
What your AI can do with it
- Generate Amazon product listings
- Check listings for compliance with Amazon's rules
- Improve the chance of products being recommended by Amazon's AI
Install ListingGood — AI Recommendation Engine (Skills + MCP)
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user listinggood-ai-recommendation-en 'https://listinggood.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://listinggood.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=listinggood-ai-recommendation-en&config=eyJ1cmwiOiJodHRwczovL2xpc3Rpbmdnb29kLmNvbS9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://listinggood.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add listinggood-ai-recommendation-en --url 'https://listinggood.com/mcp'Run it once, then sign in with codex mcp login listinggood-ai-recommendation-en if the server asks for an account.
From the project's README
As published by ryanyang828/listinggood-skills in README.md.
Make AI recommend your products. ListingGood is the engine that helps Amazon's AI — Rufus, COSMO, and agentic shopping agents — find, trust, and recommend your listings. It does this through three things: compliance, AI writing, and appeal rescue.
Installation
ListingGood runs as a hosted, remote Streamable HTTP MCP server — there is nothing to install locally. Just point your MCP client at the endpoint with your API key.
Endpoint:
https://listinggood.com/mcp?apikey=YOUR_API_KEY
Get your free API key at listinggood.com/developers (signup grants 10 permanent stars).
Claude Desktop / Cursor / VS Code / Windsurf / Cline
{
"mcpServers": {
"listinggood": {
"type": "streamable-http",
"url": "https://listinggood.com/mcp?apikey=YOUR_API_KEY"
}
}
}
No Docker build, no
npxcommand, no local Python runtime — the API key is passed as a URL query parameter (?apikey=...) exactly as shown above.
Why this exists
Amazon's discovery front-door has moved to AI. A listing that is not machine-readable and compliance-clean is far less likely to be cited inside Rufus answers, COSMO-driven recommendations, or agentic buying flows. Traditional seller tools tell you what to sell — they don't tell you whether your listing will be recommended.
ListingGood closes that gap:
- Compliance pre-check — flags risky claims and category issues before you publish (free, no login).
- AI readability — scores how well Amazon's AI surfaces can parse and cite your listing.
- AI writing — generates compliant titles, bullets, and descriptions.
- Appeal rescue — drafts a Plan of Action (POA) when a listing is suppressed.
The combined result is an AI Recommendation Readiness Score = compliance × 0.55 + AI readability × 0.45.
Available Tools
ai_readiness_check
Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Returns a combined AI Recommendation Readiness Score with actionable fixes. Free, no API key required.
agent_ready_check
Score whether a product listing is Agent-Ready for AI shopping agents (OpenAI ACP / Google UCP era). Platform-agnostic: Amazon, Shopify, Walmart, TikTok Shop or any storefront. Returns four dimensions — structured attributes, entity clarity, trust & compliance, agent actionability — plus ranked fixes. Free, no API key required, runs fully locally in the MCP server (no credits).
compliance_check
Fast pre-publish compliance gate: scans for red-line words and category risks before you generate or publish. Free with API key.
compliance_scan
Deep, knowledge-base-driven compliance audit across prohibited terms, IP risk, category rules, and GPSR. Returns a written report. 2 credits.
generate_listing
Generate optimized title + bullets + description for selected marketplaces. 1 credit per marketplace.
fill_from_sentence
Turn a one-sentence product description into structured listing fields. Free with API key.
generate_poa
Draft a submission-ready Plan of Action from an Amazon violation or suspension notice. 4 credits.
analyze_review
Analyze a negative review for root cause and a suggested response or POA angle. 2 credits.
What's in this repo
This repository bundles ListingGood's agent skills and MCP server config so AI agents and power users can call ListingGood programmatically:
| Package | What it does |
|---|---|
listinggood-expert | All-in-one Amazon listing expert: write · compliance pre-check · appeal rescue |
listinggood-amazon-listing-optimizer | High-conversion listing generation (title + bullets + description) |
listinggood-amazon-compliance-auditor | Compliance audit with Critical/Warning/Info grading |
listinggood-deep-compliance | Deep, knowledge-base-backed compliance report |
listinggood-appeal-rescue | POA drafting + negative-review root-cause analysis |
listinggood-amazon-title-optimizer | A9/A10 title optimization |
listinggood-amazon-bullet-writer | Benefit-led bullet points |
listinggood-amazon-eu-localization | EU marketplace (DE/ES/FR/IT) localization |
| MCP server | 8 tools (free check, Agent-Ready score, deep scan, AI generation, POA, …) + vertical MCPs (Electronics / Toys / Beauty / Home) |
Quick start
- Get a free API key at listinggood.com/developers.
- Add the server to your MCP client using the config block in Installation.
- Restart your client. ListingGood's tools appear as available MCP tools.
Try it now (no account)
Run a free compliance + AI-readability check at listinggood.com/scan — paste your title and bullets, get a report in seconds.
Links
- Website & free check: https://listinggood.com
- Developers / MCP config: https://listinggood.com/developers
- Changelog: https://listinggood.com/changelog
ListingGood AI Recommendation Engine — make AI recommend your products.
Tools it offers (8)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
ai_readiness_checkagent_ready_checkcompliance_checkcompliance_scangenerate_poaanalyze_reviewfill_from_sentencegenerate_listing
Signals
- GitHub stars
- 1
- Last commit
- Sep 2026
Advanced
- Delivery
- listinggood MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-ryanyang828-listinggood- Source
- github.com/ryanyang828/listinggood-skills
- Hosted endpoint
https://listinggood.com/mcp
github.com/ryanyang828/listinggood-skills