MCP server

ListingGood MCP

io.github.ryanyang828/listinggood

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 2,373 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http listinggood https://listinggood.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.listinggood]
url = "https://listinggood.com/mcp"

Gemini CLI

{"mcpServers":{"listinggood":{"httpUrl":"https://listinggood.com/mcp"}}}

Cursor

{"mcpServers":{"listinggood":{"url":"https://listinggood.com/mcp"}}}

VS Code

{"servers":{"listinggood":{"type":"http","url":"https://listinggood.com/mcp"}}}

Antigravity

agy mcp add listinggood https://listinggood.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"listinggood","server_url":"https://listinggood.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"listinggood","server_url":"https://listinggood.com/mcp"}

Tools

• agent_ready_check ~320 tokens
  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 au
• ai_readiness_check ~359 tokens
  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
• analyze_review ~262 tokens
  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
• compliance_check ~254 tokens
  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
• compliance_scan ~341 tokens
  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. D
• fill_from_sentence ~239 tokens
  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
• generate_listing ~312 tokens
  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
• generate_poa ~286 tokens
  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 res

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