io.github.enzoemir1/shopops-mcp
AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
What can you do with io.github.enzoemir1/shopops-mcp?
- 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.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
shopops-mcp-serverclaude mcp add shopops-mcp -- npx -y shopops-mcp-server@1.2.2
{
"mcpServers": {
"shopops-mcp": {
"command": "npx",
"args": [
"-y",
"shopops-mcp-server@1.2.2"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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.
- 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
stdioand Streamable HTTP (MCPize). - TypeScript,
@modelcontextprotocol/sdkv1.29+, Zod v4. - Free tier, plus a €29 lifetime Pro license.
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 | 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. |
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. |
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.
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 pointspricing_optimize— actionable price-change recommendationscustomers_churn— churn risk scoring + retention recommendationsorder_anomalies— fraud / anomaly detectionreport_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
Frequently asked questions
What is io.github.enzoemir1/shopops-mcp?
AI e-commerce operations. Inventory, pricing, segmentation, and analytics.
How do I install io.github.enzoemir1/shopops-mcp?
It runs on your machine. In Claude Code: claude mcp add shopops-mcp -- npx -y shopops-mcp-server@1.2.2. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.enzoemir1/shopops-mcp need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.enzoemir1/shopops-mcp open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.enzoemir1/shopops-mcp?
It is published by enzoemir1. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.