ShopOps MCP

AI-powered server that implements the Model Context Protocol (MCP) for managing Shopify and WooCommerce stores.

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Features

• 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.
• Order anomaly / fraud detection.
• ABC analysis of product performance.
• Automated daily and weekly reports.
• Dual transport: local stdio and Streamable HTTP (MCPize).
• TypeScript, @modelcontextprotocol/sdk v1.29+, Zod v4.
• Free tier, plus a €29 lifetime Pro license.

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Quick Start

# 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.

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MCP Tools

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.

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MCP Resources

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.

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Configuration

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 endpoint on this port (default 8080) instead of local stdio.
MCPIZE	No	Set to true by the MCPize runtime to force HTTP transport.
LEMONSQUEEZY_LICENSE_KEY	No	Pro license key. Without it the server runs in Free tier (see Pro License).

A minimal .env is provided in .env.example.

Connecting a store

Shopify and WooCommerce credentials are supplied as parameters to store_connect, e.g.:

// 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_..." }

store_connect returns a store_id that every other tool takes as input. To explore the server without real credentials, call store_demo_seed instead.

Roadmap (not yet implemented): report anonymization, S3 report export, and a configurable pricing-model / log-level are planned but not read by the current release.

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Pro License

ShopOps ships in Free mode — store_demo_seed, store_connect, inventory_status, pricing_analyze, customers_segment, product_performance, and report_daily are open. The following tools require a Pro license:

• inventory_forecast — moving-average demand forecasting + reorder points
• pricing_optimize — actionable price-change recommendations
• customers_churn — churn risk scoring + retention recommendations
• order_anomalies — fraud / anomaly detection
• report_weekly — week-over-week trend report + AI insights

Buy a Pro License (€29, lifetime, 3 machines): https://automatiabcn.lemonsqueezy.com/buy/cbbe44f0-a146-4c65-88c8-71f371037758

Or get the Indie MCP Stack Bundle (€69, all 4 servers).

export LEMONSQUEEZY_LICENSE_KEY=YOUR-KEY-HERE

Or in your MCP client config:

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

Validation is cached locally for 24 h — fully offline-capable after first run.

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License

ShopOps MCP is released under the MIT License. See LICENSE for full terms.

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Author: Automatia BCN