Lumnix MCP Server

E-commerce research via MCP. Amazon, Alibaba & AliExpress product search and FBA margins.

Local serverstdioGo

What is the Lumnix MCP server?

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.

What you get

Stop paying for three different SaaS dashboards. Ask your AI to find winning products, vet suppliers, and calculate margins — all in one conversation.

What the assistant can call

Once Lumnix is connected, these are the calls the assistant has available:

  • 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

Setting it up

lumnix on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

Configuration and credentials

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.

Choosing this one

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.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 14 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Lumnix.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the lumnix mcp server does with a few real requests.

Available 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_search_productsSearch suppliers and products with MOQ and price filters
alibaba_get_product_detailsPricing tiers, specs, variants, supplier credentials
alibaba_vet_supplier**Trust score, risk flags, verification status** — avoid bad suppliers

How to install the Lumnix MCP server

{
  "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.

Configuration

VariableDescriptionRequired
YOUR_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Lumnix to amazon search products.
  • Use Lumnix to amazon get product details.
  • Use Lumnix to amazon estimate sales.

Frequently asked questions

It connects Lumnix to MCP-compatible AI assistants such as Claude and Cursor, exposing 14 tools (amazon_search_products, amazon_get_product_details, amazon_estimate_sales, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Lumnix directly.