Shopops MCP Server

AI e-commerce operations. Inventory, pricing, segmentation, and analytics.

Local serverstdioTypeScript

What is the Shopops MCP server?

Connect Shopops to Claude, Cursor or any other MCP client and it stops being a tab you switch to. AI e-commerce operations. Inventory, pricing, segmentation, and analytics. The shopops mcp server is what makes that connection.

What the server does

The server will read the environment variables, connect to the configured store(s), and expose the MCP tools and resources.

  • Store connectors — for Shopify and WooCommerce
  • 12 MCP tools — covering inventory, pricing, customers, orders, product performance and reporting
  • 4 MCP resources — exposing store overview, inventory, recent orders and top customers
  • Inventory forecasting using moving-average demand plus safety-stock calculation
  • RFM-based customer segmentation (7 distinct segments)
  • Data-driven pricing analysis with margin-based optimization suggestions

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

  • 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

Installation

Installation goes through your MCP client rather than a global install: point it at shopops-mcp on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.

Credentials and setup notes

Configuration is passed through the environment: LEMONSQUEEZY_LICENSE_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

Where it fits

This sits in the payments and commerce group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Shopops's toolset — store_connect, store_demo_seed, inventory_status and 9 more — is a fair guide to whether it matches your workflow. It is maintained by enzoemir1; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Shopops's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Worth knowing first

  • 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 12 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Shopops.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Available tools

ToolWhat it does
store_connectConnects, lists, disconnects, or syncs a Shopify/WooCommerce store (action: "connect" \
store_demo_seedCreates a realistic demo store (20 products, 40 customers, 150+ orders) so you can explore every tool without real store credentials.
inventory_statusReturns current stock levels, back-order flags and low-stock alerts.
inventory_forecastProjects future inventory requirements using moving-average demand and safety-stock buffers.
pricing_analyzeGenerates a price elasticity report and identifies under-/over-priced SKUs.
pricing_optimizeSuggests optimal price points based on margin analysis, sales velocity, and configurable pricing rules.
customers_segmentPerforms RFM analysis and assigns customers to one of seven segments.
customers_churnScores customers for churn risk and provides retention recommendations.
order_anomaliesDetects potentially fraudulent or erroneous orders using pattern-recognition models.
product_performanceConducts ABC analysis and returns contribution metrics per product class.
report_dailyGenerates a JSON/CSV daily operations summary (sales, inventory, alerts).
report_weeklyGenerates a weekly performance report with trend visualisations.

How to install the Shopops MCP server

Or in your MCP client config:

```json
{
  "mcpServers": {
    "shopops-mcp": {
      "command": "npx",
      "args": ["-y", "shopops-mcp-server"],
      "env": { "LEMONSQUEEZY_LICENSE_KEY": "YOUR-KEY-HERE" }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
LEMONSQUEEZY_LICENSE_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Shopops to store connect.
  • Use Shopops to store demo seed.
  • Use Shopops to inventory status.

Frequently asked questions

It connects Shopops to MCP-compatible AI assistants such as Claude and Cursor, exposing 12 tools (store_connect, store_demo_seed, inventory_status, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Shopops directly.