About ListingGood MCP
ListingGood is a hosted MCP server for Amazon sellers to check listing compliance, generate listing content, and prepare appeals. It also scores listings for readability to Amazon AI and readiness for AI shopping agents.
Key features
- 01Check listing compliance risks
- 02Score AI recommendation readiness
- 03Generate titles, bullets, and descriptions
- 04Fill structured listing fields
- 05Draft appeal plans of action
- 06Analyze negative review causes
Use cases
- 01Check listing copy before publishing
- 02Improve readability for Amazon AI
- 03Generate listing content for multiple marketplaces
- 04Prepare appeal materials for suppressed listings
MCP support
This hosted MCP server uses Streamable HTTP, with clients connecting via an API key. It exposes tools for compliance checks, readiness scoring, content generation, appeal drafting, and review analysis.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://listinggood.com/mcpclaude mcp add --transport http ryanyang828-listinggood https://listinggood.com/mcp{"mcpServers":{"ryanyang828-listinggood":{"type":"http","url":"https://listinggood.com/mcp"}}}Open in Cursor{"servers":{"ryanyang828-listinggood":{"type":"http","url":"https://listinggood.com/mcp"}}}Open in VS Code{"mcpServers":{"ryanyang828-listinggood":{"type":"http","url":"https://listinggood.com/mcp"}}}{"mcpServers":{"ryanyang828-listinggood":{"serverUrl":"https://listinggood.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
8| Parameter | Type | Required | Description |
|---|---|---|---|
| lang | string | No | |
| text | string | Yes | |
| string | No | ||
| marketplace | string | No |
Details
From the project READMEListingGood — AI Recommendation Engine (Skills + MCP)
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.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.