Shopops MCP server

Read from the package source without running it. The installed server may list more.

• customers_churn

  Identify customers at risk of churning based on RFM recency + frequency signals. Returns an object with at_risk, hibernating, and lost arrays — each contains customer id, name, email, last_order_date, days_since_last_order, total_spent, total_orders, and a win_back_recommendation string. Use this for targeted re-engagement campaigns.

• customers_segment

  RFM (Recency, Frequency, Monetary) customer segmentation. Categorizes customers into segments: Champions, Loyal, Potential, At Risk, New, Hibernating, Lost — with actionable recommendations.

• inventory_forecast

  Predict stock depletion dates using moving-average sales velocity. Returns reorder points, safety stock levels, and suggested reorder quantities for each product.

• inventory_status

  Snapshot of current stock levels for a connected store. Returns a summary object with total product count, out-of-stock count, low-stock count (≤10 units), plus two arrays: out_of_stock and low_stock — each containing product id, title, sku, quantity, and status. Items are sorted by urgency (lowest quantity first). Read-only and idempotent.

• order_anomalieswrite action

  Statistical anomaly detection on recent orders. Flags high-value orders (>3σ from mean), velocity spikes (customer ordering unusually fast), unusual quantities, off-hours purchases (2am-5am), and new-customer high-value orders. Returns an array of anomalies with order_id, anomaly_type, severity (low/medium/high), reason, and recommended_action. Useful for fraud detection and revenue spike investig

• pricing_analyze

  Analyze pricing across products with margin calculation, sales velocity, and rule-based price optimization suggestions. Returns an array where each element contains product_title, current_price, cost, margin_percent, daily_units_sold, revenue_per_day, suggested_price (or null if no change recommended), and suggestion_reason. Pass product_id to scope to a single product, omit for full catalog.

• pricing_optimize

  Filtered pricing recommendations — only products where a price change is suggested. Returns a summary with total_suggestions count and an optimizations array (product, current_price, suggested_price, change_percent, reason, daily_revenue), sorted by absolute change_percent (biggest moves first). Use this instead of pricing_analyze when you only want actionable changes.

• product_performance

  Product performance report with ABC analysis. Category A = top 80% revenue, B = next 15%, C = bottom 5%. Includes trends, margins, and daily sales velocity.

• report_daily

  Daily operational report: orders, revenue, top products, new vs returning customers, low stock alerts, and anomaly count.

• report_weekly

  Weekly trend report: revenue/order changes vs previous week, customer segment distribution, trending products, and AI-generated insights.

• store_connect

  Manage Shopify or WooCommerce store connections. action="connect" adds a new store and performs an initial sync of products, orders, and customers; action="sync" refreshes cached data for an existing store; action="list" returns all connected stores with their sync counts. Returns a JSON payload with store metadata (id, name, platform, url, counts, last_sync) — credentials are never returned.

• store_demo_seedwrite action

  Create a realistic demo store populated with 20 products, 40 customers across 6 archetype buckets (champions, loyal, new, at-risk, hibernating, one-off), and 150+ orders spanning the last 6 months. Use this to explore ShopOps without real Shopify or WooCommerce credentials — every tool (inventory_status, customers_segment, order_anomalies, report_weekly, etc.) will return meaningful output on the

• Code scan56 source files scanned25/25
• –Live reliabilityno gateway calls yet and no remote to proben/a
• –Tool poisoningtools not inspected (local package is not executed); not countedn/a
• Auth qualitylocal package, no credentials required12/15
• Maintenancelast push 14 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Shopops: common questions

Is Shopops MCP server safe?

Yes, by our scan: it is graded A (94/100). Read the Shopops safety report

How do I install Shopops?

It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.

Does Shopops need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Shopops maintained?

The last commit was 15 days ago (2026-09-13). The latest release is v1.2.2.

What can I use instead of Shopops?

Servers from other publishers that do the same job: Vtex MCP server, Datto RMM MCP server and Analook — Competitor Intelligence MCP server. Compare all Shopops alternatives.