E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.
Lumnix MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.
Stop paying for three different SaaS dashboards. Ask your AI to find winning products, vet suppliers, and calculate margins — all in one conversation.
Once Lumnix is connected, these are the calls the assistant has available:
amazon_search_products — Search by keyword with price, rating, and review filtersamazon_get_product_details — Full product page — features, specs, reviews, images, categoryamazon_estimate_sales — Monthly sales volume with confidence rangeamazon_opportunity_score — ⭐ 0-100 niche score — demand, competition, margin potentialamazon_analyze_competition — Top players, review counts, price ranges for a keywordamazon_best_sellers — Best-selling products by category with sales dataamazon_keyword_suggestions — Amazon autocomplete keywords with search frequencyamazon_price_history — 📊 Keepa-powered — historical price chartamazon_bsr_history — 📊 Keepa-powered — Best Sellers Rank trend over timeamazon_analyze_negative_reviews — Complaint categories, sentiment breakdown, common issuesamazon_analyze_listing_quality — CTR + CVR scoring with specific improvement suggestionsalibaba_search_products — Search suppliers and products with MOQ and price filterslumnix on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need one environment variable: YOUR_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the payments and commerce options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Lumnix's toolset — amazon_search_products, amazon_get_product_details, amazon_estimate_sales and 11 more — is a fair guide to whether it matches your workflow. It is maintained by moltstudios; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| amazon_search_products | Search by keyword with price, rating, and review filters |
| amazon_get_product_details | Full product page — features, specs, reviews, images, category |
| amazon_estimate_sales | Monthly sales volume with confidence range |
| amazon_opportunity_score | **⭐ 0-100 niche score** — 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 | **📊 Keepa-powered** — historical price chart |
| amazon_bsr_history | **📊 Keepa-powered** — 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_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** — avoid bad suppliers |
{
"mcpServers": {
"lumnix": {
"command": "npx",
"args": [
"mcp-remote",
"https://lumnix.dev/api/mcp",
"--header",
"Authorization: Bearer YOUR_API_KEY"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
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