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ShopifyApr 7, 202513 min read

MCP for Shopify Developers: Build an AI Assistant That Knows Your Entire Store

Learn how to build a custom MCP server that gives Claude and other AI tools real-time access to your Shopify store data — products, orders, customers, and inventory — so you can manage your store with natural language.

MCP for Shopify Developers: Build an AI Assistant That Knows Your Entire Store

What If Your AI Could See Inside Your Shopify Store?

Imagine typing: *"Show me all orders over ₹3,000 that shipped more than 5 days ago and haven't been delivered yet"* — and getting an instant, accurate answer. No pivot tables. No CSV exports. No Shopify admin tab-switching.

That's what a Shopify MCP server makes possible. MCP (Model Context Protocol) is the open standard by Anthropic that lets AI tools connect to live data sources and APIs. In a previous post, we covered MCP for code editors. Today we're going deep on building MCP specifically for Shopify — so your AI assistant becomes a genuine store management co-pilot.

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Why a Shopify MCP Server Is Different

The general MCP guide covers database connectors and API integrations. A Shopify MCP server is specifically designed to:

  • Query the Shopify Admin API (GraphQL + REST) in real time
  • Understand commerce-specific context — what's an order vs. a draft order, what's a variant vs. a product, how inventory is tracked across locations
  • Take commerce actions — fulfill orders, update inventory, create discount codes, respond to customer queries
  • Respect Shopify's rate limits — the Shopify API has call limits; your MCP server needs to handle them gracefully
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What Your Shopify MCP Server Can Do

Here are the tools you'll build:

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Product Tools

  • get_product(id or handle) — fetch full product details, variants, images, metafields
  • search_products(query, filters) — find products by title, vendor, tag, price range
  • update_product_description(id, content) — update copy directly from Claude
  • list_low_stock_products(threshold) — find products running low
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Order Tools

  • get_order(id or order_number) — full order details including line items, shipping, customer
  • search_orders(filters) — filter by status, date, value, customer
  • fulfill_order(id, tracking) — mark an order as fulfilled with tracking info
  • list_unfulfilled_orders(days_old) — surface orders waiting on action
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Customer Tools

  • get_customer(id or email) — full customer profile including order history and LTV
  • search_customers(query) — find customers by name, email, tags
  • tag_customer(id, tags) — add segmentation tags
  • get_customer_orders(customer_id) — full order history for a customer
#

Inventory Tools

  • get_inventory_level(variant_id, location_id) — check stock at a specific location
  • adjust_inventory(variant_id, adjustment) — manually adjust stock levels
  • list_locations() — get all warehouse/fulfillment locations
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Analytics Tools

  • get_sales_summary(date_range) — revenue, orders, AOV for a time period
  • get_top_products(period, limit) — best sellers by revenue or units
  • get_customer_segments() — breakdown of new vs. returning customers
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Building the Shopify MCP Server: Step by Step

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Prerequisites

  • Node.js 18+
  • A Shopify store with Admin API access
  • A Custom App in your Shopify admin with the right API scopes
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Step 1: Create Your Shopify Custom App

In your Shopify admin: 1. Go to Settings → Apps and sales channels → Develop apps 2. Create a new app (name it "MCP Server" or similar) 3. Under Configuration, grant these API scopes: - `read_products`, `write_products` - `read_orders`, `write_orders` - `read_customers`, `write_customers` - `read_inventory`, `write_inventory` - `read_analytics` 4. Install the app on your store and copy the Admin API access token

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Step 2: Project Setup

Create a new Node.js project and install dependencies:

  • `@modelcontextprotocol/sdk` — the MCP SDK
  • `@shopify/shopify-api` — Shopify's official Node.js client
  • `dotenv` — for environment variable management
Create a `.env` file with:
  • `SHOPIFY_SHOP` — your myshopify.com domain (e.g., `your-store.myshopify.com`)
  • `SHOPIFY_ACCESS_TOKEN` — the token from Step 1
  • `SHOPIFY_API_VERSION` — use the latest stable version (e.g., `2025-01`)
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Step 3: Initialize the MCP Server

Create your main server file (`server.ts`). Initialize: 1. The Shopify API client with your shop URL, access token, and API version 2. The MCP Server instance with a name like "shopify-store" and version "1.0.0" 3. The StdioServerTransport for local communication

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Step 4: Implement Product Tools

Here's how to structure a product search tool: Tool definition:

  • Name: `search_products`
  • Description: "Search Shopify products by title, vendor, product type, or tags. Returns product ID, title, handle, status, variants with prices and inventory, and tags."
  • Input schema: query (string, required), limit (number, optional, default 10), status (enum: active/draft/archived, optional)
Handler logic: 1. Build a Shopify Admin API GraphQL query with the search parameters 2. Execute the query using your Shopify client 3. Format the results (product ID, title, handle, status, variant count, price range, inventory total) 4. Return formatted text to the AI Example GraphQL query structure: Query the `products` connection with a `query` argument for filtering. Request fields: `id`, `title`, `handle`, `status`, `variants` (edges with `id`, `price`, `inventoryQuantity`), `tags`.

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Step 5: Implement Order Tools

Tool: search_orders
  • Filters: financial_status (paid/pending/refunded), fulfillment_status (fulfilled/unfulfilled/partial), created_at range, min_price
  • Returns: order number, customer name, total price, line items, fulfillment status, created date
Tool: fulfill_order
  • Input: order_id, tracking_number, tracking_company, notify_customer (boolean)
  • Action: Creates a fulfillment via the Shopify Fulfillment API
  • Returns: confirmation with fulfillment ID and status
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Step 6: Connect to Claude Code

Add to your `.claude/settings.json` (or global Claude Code settings):

```json { "mcpServers": { "shopify-store": { "command": "node", "args": ["/path/to/your/shopify-mcp-server/dist/server.js"], "env": { "SHOPIFY_SHOP": "your-store.myshopify.com", "SHOPIFY_ACCESS_TOKEN": "your_token_here", "SHOPIFY_API_VERSION": "2025-01" } } } } ```

Restart Claude Code. You'll see "shopify-store" appear in the connected tools list.

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Real-World Usage Examples

Once connected, here's what you can do with natural language: Inventory Management: > "List all products with less than 5 units in stock, sorted by recent sales velocity" Order Operations: > "Show me all unfulfilled orders from the last 48 hours. For each one, tell me if the customer has ordered before." Customer Intelligence: > "Find customers who've spent more than ₹15,000 total but haven't ordered in 60+ days. Give me their emails." Analytics: > "Compare this week's sales to last week. Which products drove the difference?" Bulk Operations: > "Update the description of all products tagged 'summer-2024' to add a 'Now on Sale' note at the top."

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Security Considerations

Your Shopify MCP server has admin-level access to your store. Take these precautions:

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Token Security

  • Never commit your `SHOPIFY_ACCESS_TOKEN` to git — use `.env` files and `.gitignore`
  • Rotate tokens periodically
  • Use the minimum API scopes required for your use case
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Read vs. Write Operations

  • Mark destructive tools clearly in their descriptions
  • Add confirmation prompts for irreversible actions (order cancellation, bulk price changes)
  • Consider a "dry run" mode for bulk operations
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Rate Limiting

Shopify has API rate limits (typically 40 requests/second for REST, cost-based for GraphQL). Your MCP server should:
  • Implement exponential backoff on 429 responses
  • Cache frequently-requested data (product catalogue, shop settings)
  • Batch requests where the API supports it
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Multi-Store Setup

If you manage multiple Shopify stores (common for Shopify Partners and agencies), you can run multiple MCP server instances:

```json { "mcpServers": { "store-client-a": { "command": "node", "args": ["/path/to/shopify-mcp/dist/server.js"], "env": { "SHOPIFY_SHOP": "client-a.myshopify.com", ... } }, "store-client-b": { "command": "node", "args": ["/path/to/shopify-mcp/dist/server.js"], "env": { "SHOPIFY_SHOP": "client-b.myshopify.com", ... } } } } ```

Claude will know which store is which and can work across all of them in a single conversation.

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What This Unlocks for Your Business

A Shopify MCP server transforms how you manage your store:

| Without MCP | With MCP | |---|---| | Log into Shopify admin, navigate to orders, filter, export | Ask Claude: "Show unfulfilled orders from yesterday" | | Pull analytics report, copy to spreadsheet, analyze | Ask Claude: "What's my conversion rate trend this month?" | | Manually find and tag customers | Ask Claude: "Tag all customers who bought X but not Y" | | Write descriptions one by one | Ask Claude: "Update descriptions for all draft products" |

This is especially powerful for agencies managing multiple client stores and for solo operators who want to move faster without hiring a VA. Want ANF STUDIO to build a custom Shopify MCP server for your store or agency? Let's build it.

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