ListingGood — AI Recommendation Engine (Skills + MCP)

MCP serverDev tools

listinggood 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

Details

Available today. Use it from your connected AI after setup.

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.

ListingGood — AI Recommendation Engine (Skills + MCP)Start free

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/mcp

    Add 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/mcp

    In 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 npx command, 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:

PackageWhat it does
listinggood-expertAll-in-one Amazon listing expert: write · compliance pre-check · appeal rescue
listinggood-amazon-listing-optimizerHigh-conversion listing generation (title + bullets + description)
listinggood-amazon-compliance-auditorCompliance audit with Critical/Warning/Info grading
listinggood-deep-complianceDeep, knowledge-base-backed compliance report
listinggood-appeal-rescuePOA drafting + negative-review root-cause analysis
listinggood-amazon-title-optimizerA9/A10 title optimization
listinggood-amazon-bullet-writerBenefit-led bullet points
listinggood-amazon-eu-localizationEU marketplace (DE/ES/FR/IT) localization
MCP server8 tools (free check, Agent-Ready score, deep scan, AI generation, POA, …) + vertical MCPs (Electronics / Toys / Beauty / Home)

Quick start

  1. Get a free API key at listinggood.com/developers.
  2. Add the server to your MCP client using the config block in Installation.
  3. 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


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_check
  • agent_ready_check
  • compliance_check
  • compliance_scan
  • generate_poa
  • analyze_review
  • fill_from_sentence
  • generate_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