ListingGood MCP
by ryanyang828 · remote · no sign-in to list tools · v1.0.0 · published by GitHub user ryanyang828
Get recommended by Amazon's AI. Hosted MCP server for Amazon listing compliance & generation.
8 tools: 7 change things and 1 only read.
Scanned Oct 21, 2026
- Deletes or cancels0Claude Code: deny
- Can't be undone0Claude Code: ask
- Changes things7Claude Code: ask: see these tools
- Only reads1Claude Code: allow: see these tools
No check matched anything in the tool definitions. No finding is not a safety guarantee. How the checks work.
claude mcp add --transport http listinggood https://listinggood.com/mcpTools
Open a tool for its reasons and full description. Descriptions are the publisher's own words, shown as they are.
8 tools
Changes things 7Claude Code: ask
agent_ready_checkScore whether a product listing is Agent-Ready for AI shopping agents (ACP/UCP era).No findings
Why it is in this group
- Nothing in its name or description says what it does, so it is counted as a write.
Description, as the server wrote it 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 auto-purchased by an AI agent. Fully local, deterministic rule engine — no API key, no credits, no network call. Returns four dimensions: structured attributes, entity clarity, trust & compliance, and agent actionability, plus ranked fixes. Args: text: raw product copy — title plus bullets/description (required). platform: amazon | shopify | walmart | tiktok | generic | auto (default auto-detected). lang: en or zh for the report language (default en).
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: true
- open_world_hint: false
ai_readiness_checkScore how likely Amazon's AI (Rufus, COSMO) is to recommend a listing.No findings
Why it is in this group
- Nothing in its name or description says what it does, so it is counted as a write.
Description, as the server wrote it 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 * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
compliance_checkQuick pre-publish compliance gate before generating a listing.No findings
Why it is in this group
- Nothing in its name or description says what it does, so it is counted as a write.
Description, as the server wrote it 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 - use compliance_scan for the deep knowledge-base audit. Read-only; requires an API key; no credits deducted. Args: text: listing copy (required). lang: zh or en (default en). category: optional category hint, e.g. electronics or apparel.
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
compliance_scanDeep knowledge-base compliance audit (async; 2 credits).No findings
Why it is in this group
- Nothing in its name or description says what it does, so it is counted as a write.
Description, as the server wrote it 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. Do NOT use it for a quick pre-publish check - use compliance_check for that. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: listing title/bullets/description (required). marketplace: marketplace code (default US). category: optional category hint. lang: zh or en (default en). images: optional list of up to 5 data:image base64 strings, each < 4MB.
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
fill_from_sentenceExpand a one-sentence product description into structured listing fields (free; API key; no credits).No findings
Why it is in this group
- The name "fill_from_sentence" says "fill": a word for a change.
Description, as the server wrote it 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 sentence. Do NOT use it to produce a final optimized listing - use generate_listing for that. Read-only; free; no credits deducted. Args: sentence: one-sentence product description, 4-1000 characters (required). lang: zh or en (default en).
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
generate_listingGenerate a high-conversion Amazon listing - title + bullets + description (async; 1 credit per marketplace).No findings
Why it is in this group
- The name "generate_listing" says "generate": a word for a change.
Description, as the server wrote it 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 and runs asynchronously, poll for the result. Read-only: it drafts text and does not publish. Args: cn_name: product Chinese name (required). sku: product SKU (required). marketplaces: optional list of marketplace codes; defaults to all 9. price: optional product price. lang: zh or en (default en).
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
generate_poaDraft a submission-ready Plan of Action (POA) from an Amazon violation notice (async; 4 credits).No findings
Why it is in this group
- The name "generate_poa" says "generate": a word for a change.
Description, as the server wrote it 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 result. Read-only: it drafts text and does not submit anything to Amazon. Args: text: violation notice or removal email text (required). marketplace: marketplace code (default US). lang: zh or en (default en). violation_type: optional, e.g. ip_complaint / authenticity / policy.
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
Only reads 1Claude Code: allow
analyze_reviewAnalyze a negative Amazon review for root cause and a suggested response (async; 2 credits).No findings
Why it is in this group
- The name "analyze_review" says "analyze": a word for reading.
Description, as the server wrote it 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 listing or an appeal - use generate_listing or generate_poa for those. Read-only; deducts 2 credits; runs asynchronously, poll for the result. Args: text: the negative review text (required). marketplace: marketplace code (default US). lang: zh or en (default en).
Annotations the server declares
- read_only_hint: true
- destructive_hint: false
- idempotent_hint: false
- open_world_hint: true
This is not a safety rating, and no finding is not a safety guarantee. The groups and findings come from fixed checks of the tool definitions the server returned on the date shown, not from its code or what it does when called. How the checks work.
Install
Pinned to version 1.0.0. Values in angle brackets are yours to fill in.
claude mcp add --transport http listinggood https://listinggood.com/mcpRun in a terminal.
Claude Code permissions
Allow the reads, ask before a change, deny the deletes. Paste into .claude/settings.json.
{
"permissions": {
"allow": [
"mcp__listinggood__analyze_review"
],
"ask": [
"mcp__listinggood__ai_readiness_check",
"mcp__listinggood__agent_ready_check",
"mcp__listinggood__compliance_check",
"mcp__listinggood__compliance_scan",
"mcp__listinggood__generate_poa",
"mcp__listinggood__fill_from_sentence",
"mcp__listinggood__generate_listing"
],
"deny": []
}
}Tools that only read are allowed, tools that change things ask first, tools that delete or cancel are denied. It assumes the server is installed as listinggood. Review it before you use it.
