flippa-mcp-server

Flippa.com Listings MCP

Search, analyze, and evaluate online businesses on Flippa — powered by AI.

No API key required. No account needed. Just plug into Claude and go.

npx flippa-mcp-server

Works on Mac, Windows, and Linux.

Why Flippa MCP · Tools · Getting Started · Examples

Why Flippa MCP

Flippa is the world's largest marketplace for buying and selling online businesses — websites, SaaS products, ecommerce stores, apps, newsletters, and more. Thousands of listings, each with revenue claims, traffic stats, and asking prices that may or may not make sense.

Evaluating a listing manually means checking revenue multiples, comparing prices across similar businesses, assessing risk factors, and doing math you'll probably get wrong at 2am. Multiply that by the dozens of listings you need to review to find a good deal.

Flippa MCP gives Claude full marketplace intelligence. Five specialized tools that search listings, pull detailed financials, compute valuation metrics, find comparable sales, and generate market overviews. Zero configuration. No API key. No Flippa account. Just install and ask Claude to find you a good deal.

Who This Is For

• Entrepreneurs evaluating businesses to buy on Flippa
• Investors doing due diligence on online business acquisitions
• Sellers researching pricing and market conditions before listing
• Anyone who wants AI-powered marketplace intelligence without the spreadsheet grind

Getting Started

Install

npx flippa-mcp-server

Or install globally:

npm install -g flippa-mcp-server

Claude Desktop Configuration

Add to your Claude Desktop config file:

{
  "mcpServers": {
    "flippa": {
      "command": "npx",
      "args": ["flippa-mcp-server"]
    }
  }
}

Config file locations

Platform	Path
macOS	~/Library/Application Support/Claude/claude_desktop_config.json
Windows	%APPDATA%\Claude\claude_desktop_config.json
Linux	~/.config/claude/claude_desktop_config.json

[!TIP] No API key required! The Flippa listings API is public. All 5 tools work without any authentication or Flippa account.

Tools

Tool	Description
flippa_search_listings	Search and browse listings with filters for type, status, sale method, and sorting
flippa_get_listing	Get complete details for any listing by ID
flippa_analyze_listing	Compute valuation metrics: revenue multiples, ROI, risk factors, and buy/pass verdict
flippa_comparable_sales	Find comparable listings and get aggregate pricing stats
flippa_market_overview	Get market-wide statistics across property types

flippa_search_listings — Search the marketplace

Parameter	Type	Required	Default	Description
property_type	string	No	—	website, saas, ecommerce_store, fba, ios_app, android_app, ai_apps_and_tools, youtube, newsletter, service, other
status	string	No	open	open, closed, ended
sale_method	string	No	—	auction, classified
sort_alias	string	No	—	lowest_price, highest_price, most_active, most_recent, ending_soonest, most_profitable, most_relevant
page_number	number	No	1	Page number for pagination
page_size	number	No	30	Results per page (1–100)
response_format	string	No	markdown	markdown or json

flippa_get_listing — Get listing details

Parameter	Type	Required	Default	Description
listing_id	string	Yes	—	The Flippa listing ID (e.g., "12299903")
response_format	string	No	markdown	markdown or json

Returns complete listing data: pricing, revenue, profit, traffic, seller info, verification status, description, images, and more.

flippa_analyze_listing — Valuation analysis

Parameter	Type	Required	Default	Description
listing_id	string	Yes	—	The Flippa listing ID to analyze
response_format	string	No	markdown	markdown or json

Returns computed metrics:

• Revenue multiple, profit multiple, annual revenue
• Price per visitor, revenue per visitor
• Estimated ROI in months
• Verdict: underpriced, fair, overpriced, or insufficient_data
• Risk factors (unverified revenue, low traffic, no bids, etc.)

flippa_comparable_sales — Find comparables

Parameter	Type	Required	Default	Description
listing_id	string	No	—	Find comparables for this listing (uses its type and revenue range)
property_type	string	No	—	Filter by type. Overrides listing's type if both provided.
page_size	number	No	10	Number of comparables (1–20)
response_format	string	No	markdown	markdown or json

Returns comparable listings with aggregate stats: average price, median price, average revenue multiple, and price range.

flippa_market_overview — Market snapshot

Parameter	Type	Required	Default	Description
property_type	string	No	—	Focus on one type, or omit for full market view
response_format	string	No	markdown	markdown or json

Returns market-wide stats: total listings, breakdown by type, price/revenue/profit statistics (min, max, avg, median), average revenue multiple, and verified revenue percentage.

Examples

Search for profitable SaaS businesses

"Find me SaaS listings on Flippa sorted by most profitable"

Uses flippa_search_listings with property_type: "saas" and sort_alias: "most_profitable".

Analyze a specific listing

"Analyze Flippa listing 12299903 — is it fairly priced?"

Uses flippa_analyze_listing to compute revenue multiples, ROI, and risk factors, then delivers a verdict.

Compare with the market

"Find comparable listings for this SaaS business and tell me if the asking price is reasonable"

Uses flippa_comparable_sales to find similar listings by type and revenue range, then compares pricing.

Get a market snapshot

"Give me an overview of the current Flippa marketplace for ecommerce stores"

Uses flippa_market_overview to aggregate stats across all ecommerce listings.

Deep dive evaluation

"Search for the top 5 most profitable websites on Flippa, then analyze each one and tell me which is the best deal"

Chains flippa_search_listings → flippa_analyze_listing across multiple listings to find the best opportunity.

How Analysis Works

The flippa_analyze_listing tool fetches a listing and computes valuation metrics:

Metric	Formula
Revenue Multiple	Asking Price / Annual Revenue
Profit Multiple	Asking Price / Annual Profit
ROI Estimate	Asking Price / Monthly Profit (payback in months)
Price per Visitor	Asking Price / Monthly Uniques

Verdict Logic

Revenue Multiple	Verdict
< 2x	Underpriced — below typical range, investigate why
2x – 4x	Fair — within standard online business valuation range
> 4x	Overpriced — above typical range, ensure premium is justified
No revenue data	Insufficient Data — cannot determine valuation

Risk Factors Detected

The tool automatically flags these concerns:

• No reported revenue or profit
• Traffic data unavailable or very low (< 1,000 uniques/mo)
• Revenue not verified by Flippa
• Traffic not verified by Flippa
• Seller is not a Super Seller
• No bids on the listing
• No images provided
• Very short listing description (< 100 chars)
• Confidential listing with limited data

Configuration

Variable	Required	Default	Description
FLIPPA_BASE_URL	No	https://flippa.com/v3	Override the Flippa API base URL
FLIPPA_API_TOKEN	No	—	Bearer token for future authenticated endpoints (watchlist, bidding)

With environment variables

{
  "mcpServers": {
    "flippa": {
      "command": "npx",
      "args": ["flippa-mcp-server"],
      "env": {
        "FLIPPA_API_TOKEN": "your-token-here"
      }
    }
  }
}

Supported Property Types

Type	Description
website	Content sites, blogs, media properties
saas	Software as a Service businesses
ecommerce_store	Online stores and shops
fba	Amazon FBA businesses
ios_app	iOS applications
android_app	Android applications
ai_apps_and_tools	AI-powered applications and tools
youtube	YouTube channels
newsletter	Email newsletters
service	Service businesses and agencies
other	Other business types

Development

git clone https://github.com/sind00/flippa-mcp.git
cd flippa-mcp
npm install
npm run dev    # Watch mode with tsx
npm run build  # Compile TypeScript
npm start      # Run compiled server

Project Structure

src/
  index.ts              # Server entry point
  types.ts              # TypeScript interfaces
  constants.ts          # Configuration constants
  schemas/
    listing.ts          # Zod validation schemas
  services/
    flippa-client.ts    # HTTP client (retry, rate limiting)
    formatter.ts        # Response formatting (markdown/json)
  tools/
    search.ts           # flippa_search_listings
    details.ts          # flippa_get_listing
    analyze.ts          # flippa_analyze_listing
    compare.ts          # flippa_comparable_sales
    market.ts           # flippa_market_overview

Support This Project

If Flippa MCP helps you find great deals, consider sponsoring to keep development going:

License

MIT License. See LICENSE for details.

Flippa has the listings. <-- MCP --> LLMs have the brains.