How do I install Shopops?

Shopops is a local plugin. Install it using npm package: shopops-mcp-server and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

What AI apps work with Shopops?

Shopops uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Shopops MCP Server

by Enzoemir1

Developer ToolsLow Risk10.0MCP RegistryLocal

Free

Server data from the Official MCP Registry

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

About

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

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (2 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. Trust signals: trusted author (4/4 approved).

5 files analyzed · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-enzoemir1-shopops-mcp": {
      "args": [
        "-y",
        "shopops-mcp-server"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

ShopOps MCP

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

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.

License

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

Author: Automatia BCN

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Shopops MCP Server

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