Which integrations are available for this server?

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.

ShopOps MCP

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

License: MIT TypeScript MCP

Features

Store connectors for Shopify and WooCommerce.
11 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 $25 and $45 paid plans.

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.

MCP Tools

Tool	Description
`store_connect`	Establishes a connection to a Shopify or WooCommerce store and validates 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.

MCP Resources

Resource	Description
`store://overview`	High-level store metrics: total sales, orders, customers, and gross margin.
`store://inventory`	Full inventory catalogue with quantity on hand, reserved stock and forecasted shortages.
`store://orders/recent`	List of the most recent 100 orders with status, total value and payment method.
`store://customers/top`	Top 50 customers ranked by lifetime value, purchase frequency and recency.

Configuration

Create a .env file at the project root. The following variables are required:

Variable	Required for	Description
`SHOPIFY_API_KEY`	Shopify	Private app API key.
`SHOPIFY_API_PASSWORD`	Shopify	Private app password.
`SHOPIFY_STORE_DOMAIN`	Shopify	Store domain (e.g., `myshop.myshopify.com`).
`WOOCOMMERCE_CONSUMER_KEY`	WooCommerce	REST API consumer key.
`WOOCOMMERCE_CONSUMER_SECRET`	WooCommerce	REST API consumer secret.
`WOOCOMMERCE_STORE_URL`	WooCommerce	Store URL (e.g., `https://example.com`).
`MCP_PORT`	HTTP transport	Port for the Streamable HTTP endpoint (default `8080`).
`MCP_LOG_LEVEL`	All	Logging verbosity (`error`, `warn`, `info`, `debug`).
`MCP_PRICING_MODEL`	Pricing tools	Pricing strategy (`margin_based`).
`MCP_FORECAST_WINDOW_DAYS`	Inventory forecast	Number of days to forecast (default `30`).

Optional variables:

Variable	Description
`MCP_ENABLE_ANONYMIZATION`	When set to `true`, personally identifiable data is masked in reports.
`MCP_REPORT_S3_BUCKET`	If provided, daily/weekly reports are uploaded to the specified S3 bucket.

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.

License

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

Author: Automatia BCN

Install Server

A

license - permissive license

A

quality

B

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

1dRelease cycle

3Releases (12mo)

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shopops-mcp