Lumnix
AI-powered e-commerce research tools via MCP. Search Amazon, Alibaba & AliExpress for winning products, vet suppliers, and calculate FBA margins. 19 tools, free tier available.
README
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๐ 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 โ all in one conversation.
npm install lumnix
Get API Key ยท Documentation ยท npm Package
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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
- ๐ซ No dashboards โ Works inside Claude, Cursor, Windsurf, Cline, or any MCP client
- ๐ Keepa-powered โ Real price history and BSR tracking, not estimates
- ๐ฏ Opportunity Score โ 0-100 niche score based on demand, competition, and margin potential
- ๐ญ Full sourcing pipeline โ Amazon โ Alibaba โ AliExpress, all connected
- ๐ฐ Profit calculator โ Full P&L with FBA fees, shipping, PPC ads, refunds, and ROI
- โก 30-second setup โ No install. No config file editing. Just an API key and one JSON block
โก Quick Start
1. Get an API key (free)
Sign up at lumnix.dev โ no credit card required. Get your key in 30 seconds.
2. Add to your MCP client
Claude Desktop โ edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"lumnix": {
"command": "npx",
"args": [
"mcp-remote",
"https://lumnix.dev/api/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}
โ ๏ธ Claude Desktop doesn't support remote MCP URLs natively. The
mcp-remotebridge (auto-installed by npx) makes it work. Requires Node.js installed.
Cursor โ Settings โ MCP โ Add new global MCP server:
{
"mcpServers": {
"lumnix": {
"url": "https://lumnix.dev/api/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
Windsurf / Cline / any MCP client โ 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.
๐ Tools Reference
Lumnix gives your AI 19 specialized tools across three platforms:
Amazon โ 11 tools
| Tool | What it does |
|---|---|
amazon_search_products |
Search by keyword with price, rating, and review filters |
amazon_get_product_details |
Full product page โ features, specs, reviews, images, category |
amazon_estimate_sales |
Monthly sales volume with confidence range |
amazon_opportunity_score |
โญ 0-100 niche score โ demand, competition, margin potential |
amazon_analyze_competition |
Top players, review counts, price ranges for a keyword |
amazon_best_sellers |
Best-selling products by category with sales data |
amazon_keyword_suggestions |
Amazon autocomplete keywords with search frequency |
amazon_price_history |
๐ Keepa-powered โ historical price chart |
amazon_bsr_history |
๐ Keepa-powered โ Best Sellers Rank trend over time |
amazon_analyze_negative_reviews |
Complaint categories, sentiment breakdown, common issues |
amazon_analyze_listing_quality |
CTR + CVR scoring with specific improvement suggestions |
Alibaba โ 4 tools
| Tool | What it does |
|---|---|
alibaba_search_products |
Search suppliers and products with MOQ and price filters |
alibaba_get_product_details |
Pricing tiers, specs, variants, supplier credentials |
alibaba_vet_supplier |
Trust score, risk flags, verification status โ avoid bad suppliers |
alibaba_match_to_amazon |
Match Alibaba products to Amazon listings for FBA arbitrage |
AliExpress โ 4 tools
| Tool | What it does |
|---|---|
aliexpress_search_products |
Search with price, rating, and store filters |
aliexpress_get_product_details |
Variants, specs, shipping options, store ratings |
aliexpress_analyze_supplier |
Store score, feedback rate, top-rated status |
aliexpress_profit_calculator |
๐ฐ Full P&L โ product cost, shipping, FBA fees, PPC, refunds, ROI |
๐ฌ 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"
๐ Example Response
{
"asin": "B0FHWKYT89",
"title": "Portable Blender for Shakes and Smoothies",
"price": "$29.99",
"rating": 4.5,
"reviews": 2847,
"sales_volume": "5K+ bought in past month",
"monthly_revenue_est": "$149,950",
"is_amazon_choice": true,
"is_prime": true,
"number_of_offers": 12
}
๐ฐ Plans
| Free | Pro | Business | |
|---|---|---|---|
| Price | $0 | $29/mo | $99/mo |
| API calls | 10/month | 5,000/month | 25,000/month |
| Platforms | Amazon only | Amazon + Alibaba + AliExpress | Amazon + Alibaba + AliExpress |
| Tools | Search, details, keywords | All 19 including Keepa | All 19 including Keepa |
| API keys | 2 | 5 | 20 |
| Keepa price history | โ | โ | โ |
| Opportunity score | โ | โ | โ |
| Supplier vetting | โ | โ | โ |
| Profit calculator | โ | โ | โ |
The free tier gives you 3 Amazon search tools โ enough to see the data quality. When you're ready for Keepa-powered insights, opportunity scoring, and full sourcing across all platforms, upgrade here.
๐ง 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
curl -X POST https://lumnix.dev/api/mcp \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "amazon_search_products",
"arguments": { "keyword": "wireless earbuds", "max_price": 50 }
}
}'
๐ Find Us On
Lumnix is listed on all major MCP directories:
- Smithery.ai โ Search "lumnix"
- MCP Servers โ Search "lumnix"
- Claude MCP Directory โ Coming soon
- npm โ
npm install lumnixยทnpm info lumnix
โ 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 โ 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.
๐ Security
- API keys hashed with SHA-256 โ never stored in plaintext
- Row-level security on all database tables
- Per-platform rate limiting
- Webhook signature verification for all payment events
๐ License
MIT
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Built by Molt Studios
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