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  3. Shopops MCP
Shopops MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:51:48 PM

Shopops MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "shopops-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "shopops-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ›’ More in E-Commerce

Documentation Overview

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.
  • 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.

Quick Start

bash
# 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

ToolDescription
store_connectConnects, lists, disconnects, or syncs a Shopify/WooCommerce store (action: "connect" | "list" | "disconnect" | "sync") and validates credentials.
store_demo_seedCreates a realistic demo store (20 products, 40 customers, 150+ orders) so you can explore every tool without real store credentials.
inventory_statusReturns current stock levels, back-order flags and low-stock alerts.
inventory_forecastProjects future inventory requirements using moving-average demand and safety-stock buffers.
pricing_analyzeGenerates a price elasticity report and identifies under-/over-priced SKUs.
pricing_optimizeSuggests optimal price points based on margin analysis, sales velocity, and configurable pricing rules.
customers_segmentPerforms RFM analysis and assigns customers to one of seven segments.
customers_churnScores customers for churn risk and provides retention recommendations.
order_anomaliesDetects potentially fraudulent or erroneous orders using pattern-recognition models.
product_performanceConducts ABC analysis and returns contribution metrics per product class.
report_dailyGenerates a JSON/CSV daily operations summary (sales, inventory, alerts).
report_weeklyGenerates a weekly performance report with trend visualisations.

MCP Resources

ResourceDescription
store://overviewHigh-level store metrics: product, order, and customer counts per connected store.
store://inventoryLow-stock alerts: active products with on-hand quantity ≀ 10, sorted lowest first.
store://orders/recentThe 20 most recent orders across all stores, with order number, total, status and date.
store://customers/topTop 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 β€” 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.

VariableRequiredDescription
PORTNoIf set (or MCPIZE=true), the server runs as a Streamable HTTP endpoint on this port (default 8080) instead of local stdio.
MCPIZENoSet to true by the MCPize runtime to force HTTP transport.
LEMONSQUEEZY_LICENSE_KEYNoPro 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.:

jsonc
// 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 β€” 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 β€” moving-average demand forecasting + reorder points
  • pricing_optimize β€” actionable price-change recommendations
  • customers_churn β€” churn risk scoring + retention recommendations
  • order_anomalies β€” fraud / anomaly detection
  • report_weekly β€” 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).

server.ts
export LEMONSQUEEZY_LICENSE_KEY=YOUR-KEY-HERE

Or in your MCP client config:

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

Validation is cached locally for 24 h β€” fully offline-capable after first run.


License

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


Author: Automatia BCN

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Shopops MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "shopops-mcp": { "command": "npx", "args": ["-y", "shopops-mcp"] } }

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Technical Specs & Signals

CategoryπŸ›’E-Commerce
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
35Quality signal: Fair Β· 35/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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