FirstPass Memo listing check
Red-flag check for business-for-sale listings: payback, asking multiple, flags, seller questions.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"listing-check": {
"url": "https://firstpassmemo.com/mcp"
}
}
}Remote endpoints
https://firstpassmemo.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (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.
Input Schema
{
"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).
Input Schema
{
"type": "object",
"properties": {}
}Community
Evidence