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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Lumnix

moltstudios/lumnix-mcp
119 toolsHTTPregistry active
Summary

Connects Claude to Amazon, Alibaba, and AliExpress through 19 specialized tools for e-commerce product research. Search products with filters for price, ratings, and reviews. Pull Keepa-powered price history and BSR trends. Calculate FBA margins including fees, PPC, and refunds. Vet Alibaba suppliers with trust scores and risk flags. Score niches 0-100 based on demand, competition, and margin potential. Match Alibaba suppliers to Amazon listings for arbitrage research. Analyze negative reviews and listing quality with CTR/CVR breakdowns. Runs as a remote server at lumnix.dev, requires an API key. Free tier gives basic Amazon search, paid tiers unlock Keepa data and cross-platform sourcing tools. Built for FBA sellers doing product validation and supplier research without switching between SaaS dashboards.

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Tools

Public tool metadata for what this MCP can expose to an agent.

19 tools
amazon_search_productsSearch Amazon for products with filters. Returns titles, prices, ratings, ASINs, images.9 params

Search Amazon for products with filters. Returns titles, prices, ratings, ASINs, images.

Parameters* required
pagenumber
Page number (default 1)
limitnumber
Results per page (default 20)
querystring
Search query (e.g. "blender", "wireless earbuds")
sort_bystring
Sort order (relevance, price_low, price_high, rating, reviews)
categorystring
Amazon category to search in
max_pricenumber
Maximum price filter
min_pricenumber
Minimum price filter
min_ratingnumber
Minimum star rating (1-5)
marketplacestring
Amazon marketplace (default: amazon.com)
amazon_get_product_detailsGet detailed product information by ASIN. Returns title, price, ratings, reviews count, dimensions, weight, images, seller info, and Keepa data.1 params

Get detailed product information by ASIN. Returns title, price, ratings, reviews count, dimensions, weight, images, seller info, and Keepa data.

Parameters* required
asinstring
Amazon ASIN (e.g. "B0FHWKYT89")
amazon_estimate_salesEstimate monthly sales and revenue for a product based on BSR, reviews, and market data.1 params

Estimate monthly sales and revenue for a product based on BSR, reviews, and market data.

Parameters* required
asinstring
Amazon ASIN
amazon_opportunity_scoreCalculate opportunity score (0-100) for a product niche. Analyzes demand, competition, margins, and market trends. Higher = better opportunity.1 params

Calculate opportunity score (0-100) for a product niche. Analyzes demand, competition, margins, and market trends. Higher = better opportunity.

Parameters* required
asinstring
Amazon ASIN to score
amazon_analyze_competitionAnalyze competition level for a keyword. Returns seller count, average price, review counts, and market saturation.1 params

Analyze competition level for a keyword. Returns seller count, average price, review counts, and market saturation.

Parameters* required
keywordstring
Keyword to analyze competition for
amazon_best_sellersGet best-selling products by category with sales estimates, BSR, pricing, and trend data.2 params

Get best-selling products by category with sales estimates, BSR, pricing, and trend data.

Parameters* required
limitnumber
Number of results (default 20)
categorystring
Category to browse (e.g. "kitchen", "electronics")
amazon_keyword_suggestionsGet keyword suggestions for Amazon. Returns related keywords with estimated search volume and competition.1 params

Get keyword suggestions for Amazon. Returns related keywords with estimated search volume and competition.

Parameters* required
seed_keywordstring
Seed keyword to generate suggestions from
amazon_price_historyGet price history for a product using Keepa data. Returns price over time, deal detection, and price statistics.2 params

Get price history for a product using Keepa data. Returns price over time, deal detection, and price statistics.

Parameters* required
asinstring
Amazon ASIN
daysnumber
Number of days of history (default 90)
amazon_bsr_historyGet BSR (Best Sellers Rank) history using Keepa data. Track ranking trends and seasonal patterns.2 params

Get BSR (Best Sellers Rank) history using Keepa data. Track ranking trends and seasonal patterns.

Parameters* required
asinstring
Amazon ASIN
daysnumber
Number of days of history (default 90)
amazon_analyze_negative_reviewsAnalyze negative reviews for a product. Extracts common complaints, defect patterns, and improvement opportunities.2 params

Analyze negative reviews for a product. Extracts common complaints, defect patterns, and improvement opportunities.

Parameters* required
asinstring
Amazon ASIN
max_reviewsnumber
Max reviews to analyze (default 100)
amazon_analyze_listing_qualityScore listing quality (0-100) for click-through rate and conversion rate. Checks title, bullets, images, A+ content.1 params

Score listing quality (0-100) for click-through rate and conversion rate. Checks title, bullets, images, A+ content.

Parameters* required
asinstring
Amazon ASIN
alibaba_search_productsSearch Alibaba for suppliers and products. Returns product details, MOQs, prices, and supplier ratings.5 params

Search Alibaba for suppliers and products. Returns product details, MOQs, prices, and supplier ratings.

Parameters* required
pagenumber
Page number (default 1)
limitnumber
Results per page (default 20)
querystring
Search query
max_moqnumber
Maximum MOQ filter
min_supplier_verificationstring
Min supplier level (any, verified, gold)
alibaba_get_product_detailsGet detailed Alibaba product info including pricing tiers, specs, variants, supplier info, and certifications.1 params

Get detailed Alibaba product info including pricing tiers, specs, variants, supplier info, and certifications.

Parameters* required
product_idstring
Alibaba product ID
alibaba_vet_supplierVet an Alibaba supplier. Returns trust score, years in business, trade assurance, response rate, and risk flags.1 params

Vet an Alibaba supplier. Returns trust score, years in business, trade assurance, response rate, and risk flags.

Parameters* required
product_idstring
Product ID (extracts supplier from product)
alibaba_match_to_amazonMatch Alibaba products to Amazon listings. Finds the same product on Amazon to compare pricing and calculate margins.4 params

Match Alibaba products to Amazon listings. Finds the same product on Amazon to compare pricing and calculate margins.

Parameters* required
amazon_asinstring
Amazon ASIN to find matching Alibaba products for
max_unit_costnumber
Maximum unit cost filter
target_quantitynumber
Target order quantity (default 500)
min_margin_percentnumber
Minimum margin percentage (default 25)
aliexpress_search_productsSearch AliExpress for products. Returns titles, prices, ratings, orders count, and seller info.7 params

Search AliExpress for products. Returns titles, prices, ratings, orders count, and seller info.

Parameters* required
pagenumber
Page number (default 1)
limitnumber
Results per page (default 20)
querystring
Search query
max_pricenumber
Maximum price filter
min_pricenumber
Minimum price filter
min_ordersnumber
Minimum orders filter
min_ratingnumber
Minimum star rating (1-5)
aliexpress_get_product_detailsGet detailed AliExpress product info including variants, pricing tiers, reviews, and shipping options.1 params

Get detailed AliExpress product info including variants, pricing tiers, reviews, and shipping options.

Parameters* required
product_idstring
AliExpress product ID
aliexpress_analyze_supplierScore an AliExpress supplier. Returns trust metrics, response rates, dispute rates, and reliability assessment.1 params

Score an AliExpress supplier. Returns trust metrics, response rates, dispute rates, and reliability assessment.

Parameters* required
product_idstring
Product ID (extracts supplier from product)
aliexpress_profit_calculatorCalculate full P&L for a product including Amazon fees, shipping, ads, refunds, and ROI. The most comprehensive FBA profit calculator available.8 params

Calculate full P&L for a product including Amazon fees, shipping, ads, refunds, and ROI. The most comprehensive FBA profit calculator available.

Parameters* required
refund_ratenumber
Expected refund rate % (default 10)
product_costnumber
Cost per unit from supplier
monthly_salesnumber
Expected monthly sales volume
selling_pricenumber
Selling price on Amazon
shipping_costnumber
Shipping cost per unit (default 0)
ad_spend_percentnumber
PPC ad spend as % of revenue (default 25)
platform_fee_monthlynumber
Monthly platform fee e.g. $39.99 for Professional Seller (default 29)
payment_processing_percentnumber
Payment processing fee % (default 2.9)

🔍 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.

npm version License: MIT MCP Protocol Keepa Powered

npm install lumnix

Get API Key · Documentation · npm Package


🎬 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:

{
  "mcpServers": {
    "lumnix": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://lumnix.dev/api/mcp",
        "--header",
        "Authorization: Bearer YOUR_API_KEY"
      ]
    }
  }
}

⚠️ Claude Desktop doesn't support remote MCP URLs natively. The mcp-remote bridge (auto-installed by npx) makes it work. Requires Node.js installed.

Cursor — Settings → MCP → Add new global MCP server:

{
  "mcpServers": {
    "lumnix": {
      "url": "https://lumnix.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

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

ToolWhat it does
amazon_search_productsSearch by keyword with price, rating, and review filters
amazon_get_product_detailsFull product page — features, specs, reviews, images, category
amazon_estimate_salesMonthly sales volume with confidence range
amazon_opportunity_score⭐ 0-100 niche score — demand, competition, margin potential
amazon_analyze_competitionTop players, review counts, price ranges for a keyword
amazon_best_sellersBest-selling products by category with sales data
amazon_keyword_suggestionsAmazon autocomplete keywords with search frequency
amazon_price_history📊 Keepa-powered — historical price chart
amazon_bsr_history📊 Keepa-powered — Best Sellers Rank trend over time
amazon_analyze_negative_reviewsComplaint categories, sentiment breakdown, common issues
amazon_analyze_listing_qualityCTR + CVR scoring with specific improvement suggestions

Alibaba — 4 tools

ToolWhat it does
alibaba_search_productsSearch suppliers and products with MOQ and price filters
alibaba_get_product_detailsPricing tiers, specs, variants, supplier credentials
alibaba_vet_supplierTrust score, risk flags, verification status — avoid bad suppliers
alibaba_match_to_amazonMatch Alibaba products to Amazon listings for FBA arbitrage

AliExpress — 4 tools

ToolWhat it does
aliexpress_search_productsSearch with price, rating, and store filters
aliexpress_get_product_detailsVariants, specs, shipping options, store ratings
aliexpress_analyze_supplierStore score, feedback rate, top-rated status
aliexpress_profit_calculator💰 Full P&L — product cost, shipping, FBA fees, PPC, refunds, ROI

💬 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

{
  "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
}

💰 Plans

FreeProBusiness
Price$0$29/mo$99/mo
API calls10/month5,000/month25,000/month
PlatformsAmazon onlyAmazon + Alibaba + AliExpressAmazon + Alibaba + AliExpress
ToolsSearch, details, keywordsAll 19 including KeepaAll 19 including Keepa
API keys2520
Keepa price history❌✅✅
Opportunity score❌✅✅
Supplier vetting❌✅✅
Profit calculator❌✅✅

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

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 }
    }
  }'

🌐 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

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Categories
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Registryactive
Packagelumnix
TransportHTTP
UpdatedMay 23, 2026
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