The ShopOps MCP server is an AI-powered server for managing Shopify and WooCommerce stores via the Model Context Protocol. It offers tools across several categories:

Store Management

• Connect, sync, list, or disconnect Shopify/WooCommerce stores

• Seed a realistic demo store (20 products, 40 customers, 150+ orders) without real credentials

Inventory

• View current stock levels, out-of-stock products, and low-stock alerts (≤10 units)

• ⭐ Forecast stock depletion dates using moving-average sales velocity, with reorder points and safety stock recommendations

Pricing

• Analyze margins and sales velocity; identify under-/over-priced products

• ⭐ Get filtered, actionable price-change recommendations sorted by impact

Customer Analytics

• RFM analysis segmenting customers into 7 groups (Champions, Loyal, Potential, At Risk, New, Hibernating, Lost)

• ⭐ Score churn risk and receive win-back recommendations

Orders & Fraud Detection

• ⭐ Detect anomalous or potentially fraudulent orders (high-value spikes, velocity anomalies, off-hours purchases) with severity ratings and recommended actions

Product Performance

• ABC analysis classifying products by revenue contribution (A = top 80%, B = next 15%, C = bottom 5%), with trends and margins

Reporting

• Generate daily operational summaries (sales, inventory, alerts, anomalies)

• ⭐ Generate weekly trend reports with customer segment distribution, trending products, and AI insights

• Reports available in JSON/CSV

⭐ Pro features require a €29 lifetime license key via LEMONSQUEEZY_LICENSE_KEY. The server runs locally via stdio or as a Streamable HTTP endpoint.

Connects to Shopify stores to provide inventory management and forecasting, AI-driven pricing analysis and optimization, RFM-based customer segmentation, churn risk scoring, order anomaly detection, product performance analysis, and automated daily/weekly reporting.

Connects to WooCommerce stores to provide inventory management and forecasting, AI-driven pricing analysis and optimization, RFM-based customer segmentation, churn risk scoring, order anomaly detection, product performance analysis, and automated daily/weekly reporting.

# 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

// Shopify
{ "action": "connect", "platform": "shopify",
 "store_domain": "myshop.myshopify.com", "access_token": "shpat_..." }

// WooCommerce
{ "action": "connect", "platform": "woocommerce",
 "store_url": "https://example.com", "consumer_key": "ck_...", "consumer_secret": "cs_..." }

export LEMONSQUEEZY_LICENSE_KEY=YOUR-KEY-HERE

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