mcp-ecommerce-store-discovery

Ecommerce Store Discovery MCP Server

An MCP server for the Mamba Labs Ecommerce Store Discovery actor on Apify. Give it product keywords and a platform. Each run finds stores through Google, confirms each one on its own homepage, and returns one row per store.

What's Inside

• What it does
• Quick start
• Prerequisites
• Example prompts
• Tool
• Inputs
• Pricing
• Your keys
• Full actor documentation
• License

What it does

• Searches Google with each keyword plus a footprint the platform prints on its stores, and drops marketplaces, social networks, and reference sites.
• Reads each candidate's robots.txt and homepage, and returns the store only when the homepage carries the platform's marks, with the evidence and a confidence.
• Per store: payment methods, subscription apps, currencies, Shopify product count, Tranco rank band and trend, contact emails, phone, and Instagram, Facebook, and TikTok links from the homepage.
• Unconfirmed sites are skipped and not charged.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-ecommerce-store-discovery": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-ecommerce-store-discovery"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The discover_ecommerce_stores tool appears.

Prerequisites

• Node.js 18 or newer.
• An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

• "Find 30 Shopify stores that sell coffee beans and show their product counts and contact emails."
• "Which WooCommerce stores in the UK sell dog treats?"
• "List BigCommerce stores selling auto parts, with their payment providers."

Tool

discover_ecommerce_stores. One tool. Example arguments:

{
  "keywords": ["coffee beans"],
  "platform": "shopify",
  "max_stores": "25"
}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.

Input	Type	Description
keywords	array	What the stores sell. Required
platform	string	shopify (default), woocommerce, bigcommerce, or any
max_stores	string	Confirmed stores to return, up to 500. Default 25
country	string	Google market. Default US
location_term	string	Word added to every search
language	string	Google interface language. Default en
include_product_count	string	true or false. Default true
include_traffic_rank	string	true or false. Default true
include_unconfirmed	string	true or false. Default false
exclude_domains	array	Domains to skip
max_search_pages	string	Cap on Google pages read
max_charge_usd	string	Optional cost cap for the run

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
store-found, one confirmed store	$0.0055	$0.005225	$0.00495	$0.004675
search-page, one Google result page read	$0.019	$0.01805	$0.0171	$0.01615
apify-actor-start, per run start	$0.002	$0.002	$0.002	$0.002

Unconfirmed, refused, and failed sites are free.

Your keys

The actor needs no key. It reads Google result pages through the Apify Google SERP proxy and the stores' own public pages, and holds no key of any kind. Mamba Labs pays the platform and proxy costs of the run.

Full actor documentation

apify.com/mambalabs/ecommerce-store-discovery

License

MIT. See LICENSE.