io.github.enzoemir1/shopops-mcp

Registre officiel E-commerce

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

Que pouvez-vous faire avec 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.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package shopops-mcp-server
Claude Code
claude mcp add shopops-mcp -- npx -y shopops-mcp-server@1.2.2
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "shopops-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "shopops-mcp-server@1.2.2"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. ShopOps MCP
  2. Features
  3. Quick Start
  4. MCP Tools
  5. MCP Resources
  6. Configuration
  7. Pro License
  8. License

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 stdio and Streamable HTTP (MCPize).
  • TypeScript, @modelcontextprotocol/sdk v1.29+, 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

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 — 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.:

// 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 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

Questions fréquentes

Qu'est-ce que io.github.enzoemir1/shopops-mcp ?

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

Comment installer io.github.enzoemir1/shopops-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add shopops-mcp -- npx -y shopops-mcp-server@1.2.2. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.enzoemir1/shopops-mcp ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.enzoemir1/shopops-mcp est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.enzoemir1/shopops-mcp ?

Il est publié par enzoemir1. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.