AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
The server will read the environment variables, connect to the configured store(s), and expose the MCP tools and resources.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| store_connect | Connects, lists, disconnects, or syncs a Shopify/WooCommerce store (action: "connect" \ |
| 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. |
claude mcp add shopops --env LEMONSQUEEZY_LICENSE_KEY=your-value -- npx -y shopops-mcp| Variable | Description | Required |
|---|---|---|
| LEMONSQUEEZY_LICENSE_KEY | Credential the server authenticates with. | Yes |
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