
Lumnix
io.github.moltstudios由 GitHub 帳號 moltstudios 發布v0.2.2更新於 Oct 24, 2026
E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.
概覽
Lumnix 是遠端電商研究 MCP 伺服器,讓助理搜尋 Amazon、Alibaba 與 AliExpress 商品、審核供應商並估算 FBA 利潤。
- 可以做什麼
- 依關鍵字、價格、評分與評論搜尋 Amazon 商品,取得商品詳情、暢銷榜與關鍵字建議。估算銷量、為利基市場打機會分數、分析競爭、負評與 listing 品質,並讀取 Keepa 價格與 BSR 歷史。依 MOQ 與價格篩選搜尋 Alibaba 供應商與商品,查看價格級距與供應商資歷,並以信任分數與風險標記審核供應商。搜尋 AliExpress 商品、查看變體與物流、分析商店評分,並把 Alibaba 商品對應到 Amazon listing。計算包含商品成本、運費、FBA 費用、PPC、退款與 ROI 的完整損益。
- 適用情境
- 適合 Amazon FBA 賣家、代發貨賣家與選品研究者,希望在一次 AI 對話中完成選品、競爭與供應商審核以及利潤試算,而不必切換多個儀表板。
- 執行需求
- 需要 Lumnix API key,以 Bearer token 放在 Authorization 標頭中。伺服器為遠端端點;Claude Desktop 需透過 npx 使用 mcp-remote 橋接,因此需要 Node.js。Cursor、Windsurf、Cline 等用戶端可直接使用 URL 與標頭。需要網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Lumnix,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
🔍 Lumnix
AI-powered e-commerce research tools via MCP
Stop paying for three different SaaS dashboards. Ask your AI to find winning products, vet suppliers, and calculate margins — all in one conversation.
🎬 Demos
Explainer — What Lumnix does:
https://github.com/user-attachments/assets/388cad8a-948d-4921-9945-fd5d5e618b9c
Live Demo — Real research session:
https://github.com/user-attachments/assets/dd76f1df-18ff-492a-b9ac-0ae2d6d69815
Why Lumnix
The old way: Subscribe to Jungle Scout for product research ($49/mo), Keepa for price history ($50/mo), some Chrome extension for Alibaba vetting ($20/mo), and a spreadsheet for margin math. Switch between tabs all day. Miss opportunities.
The Lumnix way: One API key. 19 tools. In your AI assistant. No dashboards. No Chrome extensions. No tab-hopping.
"Find me wireless earbuds under $20 with high sales volume, low reviews, and a supplier on Alibaba with MOQ under 500"
Your AI calls Lumnix. You get structured data with revenue estimates, competition analysis, and profit margins. You decide. Done.
What makes it different
- 🚫 No dashboards — Works inside Claude, Cursor, Windsurf, Cline, or any MCP client
- 📊 Keepa-powered — Real price history and BSR tracking, not estimates
- 🎯 Opportunity Score — 0-100 niche score based on demand, competition, and margin potential
- 🏭 Full sourcing pipeline — Amazon → Alibaba → AliExpress, all connected
- 💰 Profit calculator — Full P&L with FBA fees, shipping, PPC ads, refunds, and ROI
- ⚡ 30-second setup — No install. No config file editing. Just an API key and one JSON block
⚡ Quick Start
1. Get an API key (free)
Sign up at lumnix.dev — no credit card required. Get your key in 30 seconds.
2. Add to your MCP client
Claude Desktop — edit ~/Library/Application Support/Claude/claude_desktop_config.json:
⚠️ Claude Desktop doesn't support remote MCP URLs natively. The
mcp-remotebridge (auto-installed by npx) makes it work. Requires Node.js installed.
Cursor — Settings → MCP → Add new global MCP server:
Windsurf / Cline / any MCP client — same pattern as Cursor. URL + Bearer token header.
3. Start researching
Restart your AI client. Then just talk naturally:
"Search Amazon for portable blenders with high sales and low reviews"
That's it. No Docker. No config files to debug.
🛠 Tools Reference
Lumnix gives your AI 19 specialized tools across three platforms:
Amazon — 11 tools
Alibaba — 4 tools
AliExpress — 4 tools
💬 Example Prompts
Product Research
"Search Amazon for stainless steel water bottles between $15-30 with at least 4 stars and under 1000 reviews"
Opportunity Scoring
"Score the 'portable blender' niche on Amazon. Is it worth entering?"
Competition Analysis
"Analyze the competition for 'organic dog treats'. How many sellers have less than 500 reviews?"
Keepa Price History
"Show me the price history for ASIN B0FHWKYT89. Has it been trending down?"
Supplier Vetting
"Find aluminum water bottle suppliers on Alibaba with trust score above 70 and MOQ under 500"
Margin Calculation
"I want to sell this AliExpress product on Amazon for $29.99. Calculate my profit margin including FBA fees, PPC ads at 15%, and 5% refund rate"
Full Workflow
"Find a product on Amazon with high sales volume and low reviews, find the matching supplier on Alibaba, vet them, and tell me if the margins work"
📊 Example Response
💰 Plans
The free tier gives you 3 Amazon search tools — enough to see the data quality. When you're ready for Keepa-powered insights, opportunity scoring, and full sourcing across all platforms, upgrade here.
🔧 API Reference
Lumnix is a remote MCP server. No installation, no Docker, no local dependencies.
Endpoint: https://lumnix.dev/api/mcp
Auth: Bearer token in the Authorization header
Protocol: JSON-RPC 2.0 (MCP spec 2025-03-26)
Direct API call
🌐 Find Us On
Lumnix is listed on all major MCP directories:
- Smithery.ai — Search "lumnix"
- MCP Servers — Search "lumnix"
- Claude MCP Directory — Coming soon
- npm —
npm install lumnix·npm info lumnix
❓ FAQ
What MCP clients work with Lumnix? Any client that supports remote MCP servers with HTTP transport: Claude Desktop, Cursor, Windsurf, Cline, VS Code (with MCP extension), and more.
Is the free tier really free? Yes. 10 API calls/month, no credit card. Enough to search products and see the data quality before committing.
Where does the data come from? Amazon data via web APIs + Keepa (for price/BSR history). Alibaba and AliExpress via their respective platforms. All structured, enriched, and ready to act on.
How fast are the responses? Most tools respond in 1-5 seconds. Deep analysis tools (competition, reviews, opportunity score) can take up to 15 seconds.
Can I use Lumnix in my own app? Yes. The REST API works with any HTTP client. Call the MCP endpoint directly with your API key — no AI assistant required.
Do I need to install anything? No. Lumnix is a remote server. Just add the config to your MCP client and go.
🔒 Security
- API keys hashed with SHA-256 — never stored in plaintext
- Row-level security on all database tables
- Per-platform rate limiting
- Webhook signature verification for all payment events
📄 License
MIT
Built by Molt Studios
來源:README.md,提交 f99a4dc
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0版本歷史
1- v0.2.2最新Sep 16, 2026
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