E-Commerce MCP Server

A complete Model Context Protocol (MCP) server for e-commerce operations, enabling AI assistants to interact with your online store through a well-defined API.

Features

This MCP server provides comprehensive e-commerce functionality:

Product Management

• 📋 List all products or filter by category
• 🔍 Search products by name or description
• 📦 Get detailed product information

Shopping Cart

• 🛒 Create and manage shopping carts
• ➕ Add items to cart with quantity control
• ➖ Remove items from cart
• ✏️ Update item quantities
• 👁️ View cart contents and totals

Order Management

• 💳 Complete checkout with shipping and payment details
• 📝 Create orders from carts
• 📊 View order details and history
• 📋 List all orders

Installation

1. Install dependencies:

npm install

1. Build the server:

npm run build

1. Run the server:

# For HTTP server (default, accessible via URL)
npm start

# Or explicitly set transport
TRANSPORT=http npm start

# For stdio (local use)
TRANSPORT=stdio npm start

Usage

Running as HTTP Server (Recommended)

The server runs on HTTP by default, making it accessible via URL at http://localhost:3000/mcp.

npm start

This allows others to connect to your MCP server using the URL:

• Claude Desktop can add it via MCP settings
• Other tools can connect using the endpoint URL

Testing the Server

Check if server is running:

curl http://localhost:3000/health

Configure in Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "ecommerce": {
      "url": "http://localhost:3000/mcp"
    }
  }
}

Or if running remotely:

{
  "mcpServers": {
    "ecommerce": {
      "url": "https://your-server.com/mcp"
    }
  }
}

Available Tools

1. ecommerce_list_products

List all products in the store, optionally filtered by category.

Parameters:

• category (optional): Filter by category name
• response_format: 'markdown' or 'json'

2. ecommerce_search_products

Search for products by name or description.

Parameters:

• query: Search term
• category (optional): Filter by category
• response_format: 'markdown' or 'json'

3. ecommerce_get_product

Get detailed information about a specific product.

Parameters:

• product_id: Unique product identifier
• response_format: 'markdown' or 'json'

4. ecommerce_create_cart

Create a new shopping cart.

Parameters:

• response_format: 'markdown' or 'json'

Returns: Cart ID for future operations

5. ecommerce_get_cart

View the contents of a shopping cart.

Parameters:

• cart_id: Unique cart identifier
• response_format: 'markdown' or 'json'

6. ecommerce_add_to_cart

Add a product to the shopping cart.

Parameters:

• cart_id: Cart identifier
• product_id: Product to add
• quantity: Number of items (default: 1)
• response_format: 'markdown' or 'json'

7. ecommerce_remove_from_cart

Remove a product from the cart.

Parameters:

• cart_id: Cart identifier
• product_id: Product to remove
• response_format: 'markdown' or 'json'

8. ecommerce_update_cart_item

Update the quantity of an item in the cart.

Parameters:

• cart_id: Cart identifier
• product_id: Product to update
• quantity: New quantity
• response_format: 'markdown' or 'json'

9. ecommerce_create_order

Complete checkout and create an order.

Parameters:

• cart_id: Cart to checkout
• shipping_address: Object with delivery details
• full_name: Customer name
• address_line1: Street address
• address_line2: Apartment, suite, etc. (optional)
• city: City name
• state: State/Province
• postal_code: ZIP/Postal code
• country: Country code
• phone: Contact number
• payment_details: Object with payment info
• method: 'credit_card', 'debit_card', 'paypal', or 'bank_transfer'
• card_last4: Last 4 digits (optional)
• card_brand: Card brand (optional)
• transaction_id: Payment transaction ID (optional)
• response_format: 'markdown' or 'json'

10. ecommerce_get_order

Get details of a specific order.

Parameters:

• order_id: Unique order identifier
• response_format: 'markdown' or 'json'

11. ecommerce_list_orders

List all orders in the system.

Parameters:

• response_format: 'markdown' or 'json'

Example Workflow

Here's a typical customer journey:

// 1. Browse products
ecommerce_list_products({ category: "Electronics" })

// 2. View product details
ecommerce_get_product({ product_id: "prod_001" })

// 3. Create a cart
ecommerce_create_cart({})
// Returns: { id: "cart_xxx", ... }

// 4. Add items to cart
ecommerce_add_to_cart({ 
  cart_id: "cart_xxx", 
  product_id: "prod_001", 
  quantity: 2 
})

// 5. View cart
ecommerce_get_cart({ cart_id: "cart_xxx" })

// 6. Complete checkout
ecommerce_create_order({
  cart_id: "cart_xxx",
  shipping_address: {
    full_name: "John Doe",
    address_line1: "123 Main St",
    city: "New York",
    state: "NY",
    postal_code: "10001",
    country: "US",
    phone: "+1234567890"
  },
  payment_details: {
    method: "credit_card",
    card_last4: "4242",
    card_brand: "Visa"
  }
})

// 7. Check order status
ecommerce_get_order({ order_id: "order_xxx" })

Sample Products

The server comes pre-loaded with sample products:

1. Wireless Headphones (prod_001) - $299.99
2. Smart Watch (prod_002) - $399.99
3. Laptop Backpack (prod_003) - $79.99
4. Bluetooth Speaker (prod_004) - $149.99
5. Ergonomic Mouse (prod_005) - $59.99

Customization

Adding Real Database Support

Replace the mock database in src/database.ts with your actual database:

// Example with PostgreSQL
import { Pool } from 'pg';

const pool = new Pool({
  connectionString: process.env.DATABASE_URL
});

export async function getAllProducts(): Promise<Product[]> {
  const result = await pool.query('SELECT * FROM products');
  return result.rows;
}

Adding Authentication

Add authentication middleware to your HTTP server:

app.use((req, res, next) => {
  const apiKey = req.headers['x-api-key'];
  if (!apiKey || !isValidApiKey(apiKey)) {
    return res.status(401).json({ error: 'Unauthorized' });
  }
  next();
});

Deploying to Production

1. Environment Variables: Set PORT for the HTTP server
2. HTTPS: Use a reverse proxy (nginx, Caddy) for SSL
3. Database: Connect to your production database
4. Monitoring: Add logging and error tracking

Example deployment with environment variables:

PORT=8080 DATABASE_URL=postgres://... npm start

Architecture

ecommerce-mcp-server/
├── src/
│   ├── index.ts          # Main MCP server with tool registrations
│   ├── types.ts          # TypeScript interfaces
│   └── database.ts       # Data layer (mock or real DB)
├── dist/                 # Compiled JavaScript
├── package.json
├── tsconfig.json
└── README.md

Development

Build and run in dev mode:

npm run dev

Just build:

npm run build

MCP Protocol

This server implements the Model Context Protocol (MCP), which allows AI assistants to:

• Discover available tools through the protocol
• Call tools with validated parameters
• Receive structured responses
• Handle errors gracefully

All tools include:

• ✅ Input validation with Zod schemas
• 📝 Comprehensive descriptions
• 🏷️ Proper annotations (readOnly, destructive, idempotent)
• 🔄 Structured responses in both JSON and Markdown formats

License

MIT

Support

For issues or questions about this MCP server:

1. Check the MCP documentation: https://modelcontextprotocol.io
2. Review the tool descriptions in the code
3. Test with the health endpoint: /health

Contributing

To add new features:

1. Define types in src/types.ts
2. Implement data layer in src/database.ts
3. Register new tools in src/index.ts following existing patterns
4. Update this README with the new functionality