
Lumnix
io.github.moltstudiosPublished by GitHub account moltstudiosv0.2.2Updated Oct 24, 2026
E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.
Overview
Lumnix is a remote e-commerce research MCP server that lets an assistant search Amazon, Alibaba and AliExpress products, vet suppliers and estimate FBA profit.
- What you can do
- Search Amazon products by keyword, price, rating and reviews, and pull product details, best sellers and keyword suggestions. Estimate sales, score niche opportunity, analyze competition, negative reviews and listing quality, and read Keepa price and BSR history. Search Alibaba suppliers and products with MOQ and price filters, view pricing tiers and supplier credentials, and vet suppliers with trust scores and risk flags. Search AliExpress products, view variants and shipping, analyze store ratings, and match Alibaba products to Amazon listings. Calculate full P&L with product cost, shipping, FBA fees, PPC, refunds and ROI.
- When to use it
- Useful for Amazon FBA sellers, dropshippers and product researchers who want product discovery, competition and supplier vetting, and margin math inside one AI conversation instead of separate dashboards.
- Requirements
- A Lumnix API key sent as a Bearer token in the Authorization header. The server is remote at its endpoint; Claude Desktop needs the mcp-remote bridge via npx, which requires Node.js. Cursor, Windsurf, Cline and similar clients can use the URL and header directly. Network access is required.
Installation
In SourceWeft
- Open Lumnix in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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
Source: README.md at commit f99a4dc
Tools
0Version history
1- v0.2.2LatestSep 16, 2026
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