
Flippa Mcp
io.github.sind00由 GitHub 账号 sind00 发布v1.0.2更新于 Oct 24, 2026
Search, analyze, and evaluate online businesses for sale on Flippa.com marketplace.
概览
搜索并分析 Flippa 上待售的线上业务,让助手获取房源、计算估值指标并比较市场价格。
- 可以做什么
- 按业务类型、状态、出售方式和排序条件搜索、浏览 Flippa 房源,支持分页
- 获取单个房源的完整详情:价格、营收、利润、流量、卖家信息与验证状态
- 计算房源估值指标,包括营收与利润倍数、回本周期和风险因素,并给出估值判断
- 查找可比房源,并按类型或营收区间汇总价格统计
- 汇总全市场统计,如房源数量、价格与营收分布以及已验证营收占比
- 适用场景
- 适合在 Flippa 上评估待售线上业务时使用:筛选房源、判断要价是否合理,或在收购或挂牌前了解市场行情。
- 运行要求
- 以 npm 包形式在本地运行(npx 或全局安装),需要 Node.js。公开房源 API 无需账号或密钥。可选环境变量:FLIPPA_BASE_URL 用于覆盖 API 基础地址,FLIPPA_API_TOKEN 供未来的鉴权接口使用。
安装
在 SourceWeft 中
- 打开 控制台中的 Flippa Mcp,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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.
来源:README.md,提交 d15a0ee
工具
0版本历史
1- v1.0.2最新Sep 16, 2026
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