
Lumnix
io.github.moltstudios由 GitHub 账号 moltstudios 发布v0.2.2更新于 Oct 24, 2026
E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.
概览
Lumnix 是一个远程电商调研 MCP 服务器,让助手搜索 Amazon、Alibaba 和 AliExpress 商品、审核供应商并估算 FBA 利润。
- 可以做什么
- 按关键词、价格、评分和评论搜索 Amazon 商品,获取商品详情、畅销榜和关键词建议。估算销量、给细分市场打机会分、分析竞争、差评和 listing 质量,并读取 Keepa 价格与 BSR 历史。按 MOQ 和价格筛选搜索 Alibaba 供应商与商品,查看价格阶梯和供应商资质,并用信任分和风险标记审核供应商。搜索 AliExpress 商品、查看变体和物流、分析店铺评分,并把 Alibaba 商品匹配到 Amazon listing。计算包含商品成本、运费、FBA 费用、PPC、退款和 ROI 的完整损益。
- 适用场景
- 适合 Amazon FBA 卖家、代发货卖家和选品研究者,希望在一次 AI 对话中完成选品、竞争与供应商审核以及利润测算,而不必切换多个仪表盘。
- 运行要求
- 需要 Lumnix API key,以 Bearer token 放在 Authorization 请求头中。服务器为远程端点;Claude Desktop 需通过 npx 使用 mcp-remote 桥接,因此需要 Node.js。Cursor、Windsurf、Cline 等客户端可直接使用 URL 和请求头。需要网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Lumnix,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
🔍 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
来源:README.md,提交 f99a4dc
工具
0版本历史
1- v0.2.2最新Sep 16, 2026
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