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ListingGood MCP

io.github.ryanyang828/listinggood · v1.0.0

Get recommended by Amazon's AI. Hosted MCP server for Amazon listing compliance & generation.

Connect Remote server

Terminal
claude mcp add --transport http listinggood https://listinggood.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "listinggood": {
      "url": "https://listinggood.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "listinggood": {
      "type": "http",
      "url": "https://listinggood.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://listinggood.com/mcp

Tools 8 found in our last check

  • 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 (compli…

  • 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, recommende…

  • 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 repo…

  • 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 re…

  • 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…

  • 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 gen…

  • 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…

  • 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…

Details

Endpointhttps://listinggood.com/mcp (Streamable HTTP)
First published12 Aug 2026
Last updated12 Aug 2026
Registry nameio.github.ryanyang828/listinggood

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