AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
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Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-enzoemir1-shopops-mcp": {
"command": "<see-readme>",
"args": []
}
}
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AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
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AI-powered server that implements the Model Context Protocol (MCP) for managing Shopify and WooCommerce stores.
stdio and Streamable HTTP (MCPize).@modelcontextprotocol/sdk v1.29+, Zod v4.# 1. Install the package
npm i shopops-mcp
# 2. Create a .env file (see Configuration section)
cp .env.example .env
# 3. Run the server (local stdio mode)
npx shopops-mcp run --transport stdio
# 4. Or start the HTTP endpoint (MCPize deployment)
npx shopops-mcp run --transport http --port 8080
The server will read the environment variables, connect to the configured store(s), and expose the MCP tools and resources.
| Tool | Description |
|---|---|
store_connect | Connects, lists, disconnects, or syncs a Shopify/WooCommerce store (action: "connect" | "list" | "disconnect" | "sync") and validates credentials. |
store_demo_seed | Creates a realistic demo store (20 products, 40 customers, 150+ orders) so you can explore every tool without real store credentials. |
inventory_status | Returns current stock levels, back-order flags and low-stock alerts. |
inventory_forecast | Projects future inventory requirements using moving-average demand and safety-stock buffers. |
pricing_analyze | Generates a price elasticity report and identifies under-/over-priced SKUs. |
pricing_optimize | Suggests optimal price points based on margin analysis, sales velocity, and configurable pricing rules. |
customers_segment | Performs RFM analysis and assigns customers to one of seven segments. |
customers_churn | Scores customers for churn risk and provides retention recommendations. |
order_anomalies | Detects potentially fraudulent or erroneous orders using pattern-recognition models. |
product_performance | Conducts ABC analysis and returns contribution metrics per product class. |
report_daily | Generates a JSON/CSV daily operations summary (sales, inventory, alerts). |
report_weekly | Generates a weekly performance report with trend visualisations. |
| Resource | Description |
|---|---|
store://overview | High-level store metrics: product, order, and customer counts per connected store. |
store://inventory | Low-stock alerts: active products with on-hand quantity ≤ 10, sorted lowest first. |
store://orders/recent | The 20 most recent orders across all stores, with order number, total, status and date. |
store://customers/top | Top 20 customers by total spending, with name, email and order count. |
ShopOps reads only a handful of environment variables. Store credentials are not env vars —
they are passed to the store_connect tool at runtime (one connection per store), so the same
server process can manage multiple Shopify/WooCommerce stores.
| Variable | Required | Description |
|---|---|---|
PORT | No | If set (or MCPIZE=true), the server runs as a Streamable HTTP endpo |