MCPサーバー
ListingGood MCP
io.github.ryanyang828/listinggood
このMCPでできること
Checks and generates Amazon and other marketplace listings, audits compliance, analyzes reviews, assesses AI shopping readiness, and drafts appeal plans.
機能
ツール
8
ツール
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, recommended, or auto-purchased by an AI agent.
Fully local, deterministic rule engine â 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 â 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).
入力スキーマ
{'type': 'object', 'title': 'agent_ready_checkArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'platform': {'type': 'string', 'title': 'Platform', 'default': 'auto'}}}
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 (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.
入力スキーマ
{'type': 'object', 'title': 'ai_readiness_checkArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'email': {'type': 'string', 'title': 'Email', 'default': ''}, 'marketplace': {'type': 'string', 'title': 'Marketplace', 'default': 'US'}}}
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
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).
入力スキーマ
{'type': 'object', 'title': 'analyze_reviewArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'marketplace': {'type': 'string', 'title': 'Marketplace', 'default': 'US'}}}
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
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.
入力スキーマ
{'type': 'object', 'title': 'compliance_checkArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'category': {'type': 'string', 'title': 'Category', 'default': ''}}}
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 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.
入力スキーマ
{'type': 'object', 'title': 'compliance_scanArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'images': {'type': 'array', 'items': {}, 'title': 'Images', 'default': None}, 'category': {'type': 'string', 'title': 'Category', 'default': ''}, 'marketplace': {'type': 'string', 'title': 'Marketplace', 'default': 'US'}}}
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 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).
入力スキーマ
{'type': 'object', 'title': 'fill_from_sentenceArguments', 'required': ['sentence'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'sentence': {'type': 'string', 'title': 'Sentence'}}}
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 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).
入力スキーマ
{'type': 'object', 'title': 'generate_listingArguments', 'required': ['cn_name', 'sku'], 'properties': {'sku': {'type': 'string', 'title': 'Sku'}, 'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'price': {'type': 'string', 'title': 'Price', 'default': ''}, 'cn_name': {'type': 'string', 'title': 'Cn Name'}, 'marketplaces': {'type': 'array', 'items': {}, 'title': 'Marketplaces', 'default': None}}}
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 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.
入力スキーマ
{'type': 'object', 'title': 'generate_poaArguments', 'required': ['text'], 'properties': {'lang': {'type': 'string', 'title': 'Lang', 'default': 'en'}, 'text': {'type': 'string', 'title': 'Text'}, 'marketplace': {'type': 'string', 'title': 'Marketplace', 'default': 'US'}, 'violation_type': {'type': 'string', 'title': 'Violation Type', 'default': ''}}}
履歴
最近のツール変更
追加
generate_listing
2026年9月17日12:49
追加
fill_from_sentence
2026年9月17日12:49
追加
analyze_review
2026年9月17日12:49
追加
generate_poa
2026年9月17日12:49
追加
compliance_scan
2026年9月17日12:49
追加
compliance_check
2026年9月17日12:49
追加
agent_ready_check
2026年9月17日12:49
追加
ai_readiness_check
2026年9月17日12:49
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