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Clind MCP Server

A Shopify-focused MCP server that enables AI agents to manage store operations like order tracking, product discovery, and checkout link generation. It facilitates customer-facing interactions including shipping estimates and real-time inventory searches.

Updated
Feb 6, 2026

Clind MCP Server

Customer-facing AI agent for Shopify store operations using the Model Context Protocol (MCP).

Features

  • Order Tracking: Track orders by order number + email
  • Product Search: Search products, get recommendations, best sellers
  • Cart & Checkout: Add to cart, create checkout links
  • Shipping: Check shipping by zipcode, get delivery estimates

Setup

  1. Install dependencies:
npm install
  1. Configure environment variables:
cp .env.example .env

Edit .env:

SHOPIFY_STORE_URL=your-store.myshopify.com
SHOPIFY_ACCESS_TOKEN=shpca_xxxxx
PORT=3000
  1. Start the server:
npm start

Available Tools (11 total)

Order Tracking

ToolDescription
track_orderTrack order by order number + email
get_order_statusGet simple status message with tracking

Product Discovery

ToolDescription
search_productsSearch by name, type, or tags
get_product_detailsGet detailed product info
get_recommendationsGet product recommendations
get_best_sellersGet top selling products
get_collectionsGet product collections

Cart & Checkout

ToolDescription
add_to_cartGenerate add-to-cart link
create_checkout_linkCreate direct checkout link

Shipping

ToolDescription
check_shippingCheck shipping by zipcode
get_shipping_zonesGet available shipping zones

API Usage

MCP Protocol (JSON-RPC 2.0)

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "search_products",
      "arguments": { "query": "mug" }
    }
  }'

REST API

curl -X POST http://localhost:3000/call \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "search_products",
    "arguments": { "query": "mug" }
  }'

Example Responses

Search Products

{
  "products": [
    {
      "id": "123",
      "title": "Paint-a-Mug Kit",
      "price": "49.00",
      "url": "https://store.com/products/paint-a-mug"
    }
  ],
  "count": 1
}

Track Order

{
  "success": true,
  "order": {
    "order_number": "1001",
    "fulfillment_status": "fulfilled",
    "tracking": [
      {
        "tracking_number": "1Z999...",
        "tracking_url": "https://..."
      }
    ]
  }
}

Check Shipping

{
  "zipcode": "90210",
  "shipping_zone": "West Coast",
  "estimated_delivery": "3-5 business days",
  "shipping_options": [
    { "name": "Standard", "estimate": "3-5 days" },
    { "name": "Express", "estimate": "1-2 days" }
  ]
}

Deployment

Deploy to Railway:

railway up

Set environment variables in Railway dashboard.

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