
Flippa Mcp
io.github.sind00由 GitHub 帳號 sind00 發布v1.0.2更新於 Oct 24, 2026
Search, analyze, and evaluate online businesses for sale on Flippa.com marketplace.
概覽
搜尋並分析 Flippa 上待售的線上事業,讓助理取得房源、計算估值指標並比較市場價格。
- 可以做什麼
- 依事業類型、狀態、出售方式和排序條件搜尋、瀏覽 Flippa 房源,支援分頁
- 取得單一房源的完整詳情:價格、營收、利潤、流量、賣家資訊與驗證狀態
- 計算房源估值指標,包括營收與利潤倍數、回本期間和風險因素,並給出估值判斷
- 尋找可比房源,並依類型或營收區間彙整價格統計
- 彙整全市場統計,例如房源數量、價格與營收分布以及已驗證營收占比
- 適用情境
- 適合在 Flippa 上評估待售線上事業時使用:篩選房源、判斷開價是否合理,或在收購或上架前了解市場行情。
- 執行需求
- 以 npm 套件形式在本機執行(npx 或全域安裝),需要 Node.js。公開房源 API 不需帳號或金鑰。選用環境變數:FLIPPA_BASE_URL 可覆寫 API 基礎網址,FLIPPA_API_TOKEN 供未來的驗證介面使用。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Flippa Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
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.
[npm version] [npm downloads] [GitHub stars] [License] [Sponsor]
Works on Mac, Windows, and Linux.
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
Or install globally:
Claude Desktop Configuration
Add to your Claude Desktop config file:
Config file locations
[!TIP] No API key required! The Flippa listings API is public. All 5 tools work without any authentication or Flippa account.
Tools
flippa_search_listings — Search the marketplace
flippa_get_listing — Get listing details
Returns complete listing data: pricing, revenue, profit, traffic, seller info, verification status, description, images, and more.
flippa_analyze_listing — Valuation analysis
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
Returns comparable listings with aggregate stats: average price, median price, average revenue multiple, and price range.
flippa_market_overview — Market snapshot
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:
Verdict Logic
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
With environment variables
Supported Property Types
Development
Project Structure
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.
來源:README.md,提交 d15a0ee
工具
0版本歷史
1- v1.0.2最新Sep 16, 2026
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