FirstPass Memo listing check
Red-flag check for business-for-sale listings: payback, asking multiple, flags, seller questions.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"listing-check": {
"url": "https://firstpassmemo.com/mcp"
}
}
}원격 엔드포인트
https://firstpassmemo.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (2)
🟢check_listing(listing_text, asking_price, monthly_profit, monthly_revenue, age_months, ...)
Runs FirstPass Memo's 33 published red-flag rules on a small online-business listing (SaaS, content site, ecommerce, Amazon FBA, newsletter, app; roughly $10k-$150k) from Flippa, Empire Flippers, Acquire.com or any broker. Pass the listing text the user provides and/or the key numbers. Returns payback in months, the asking multiple vs comparable listings, every flag that fired (severity, why it matters, link to the rule) and questions to ask the seller. Screening only: not advice, a valuation or verification. Does not fetch URLs.
입력 스키마
{
"type": "object",
"properties": {
"listing_text": {
"type": "string",
"description": "Listing text pasted by the user (asking price, profit, revenue, age, traffic, churn, etc.). Max 20,000 characters."
},
"asking_price": {
"type": "number",
"description": "Asking price in USD. Overrides any price found in the text."
},
"monthly_profit": {
"type": "number",
"description": "Average monthly net profit in USD."
},
"monthly_revenue": {
"type": "number",
"description": "Average monthly revenue in USD."
},
"age_months": {
"type": "number",
"description": "Months the business has been making money."
},
"category": {
"type": "string",
"enum": [
"SaaS or software",
"Subscription or newsletter",
"Content site (display ads)",
"Affiliate site",
"Amazon FBA or FBM",
"Ecommerce (not Amazon)",
"Dropshipping",
"YouTube channel",
"Digital product",
"Service or agency",
"Other"
],
"description": "Business type."
},
"traffic_sources": {
"type": "string",
"description": "Traffic mix, e.g. 'Organic search 70%, Direct 20%, Social 10%'."
}
}
}🟢list_rules
Returns the 33 published rules the checker uses (code, title, group, severity, when it fires, explainer URL).
입력 스키마
{
"type": "object",
"properties": {}
}커뮤니티
증거