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Shopify
MCP

Shopify MCP Server

Connect Shopify to Claude, Cursor & AI assistants

0 MCP ToolsPro+ Plan

What is Shopify MCP Server?

The Shopify MCP Server connects your ecommerce data to AI - and more importantly, connects your store data to your advertising platforms.

Here's the problem every ecommerce marketer faces: your ad platforms tell you one story (impressions, clicks, reported conversions), but your store tells another (actual orders, real revenue, customer lifetime value). These two stories often don't match up, and reconciling them means exporting data, building spreadsheets, and doing math that should be automatic.

With the Shopify MCP, you can finally ask the questions that matter: "Which Meta campaigns drive customers who actually come back and buy again?" "What's the true ROAS when I account for returns?" "Which products should I promote based on margin, not just revenue?"

The ShopifyQL integration is particularly powerful for advanced analytics. Instead of learning Shopify's query language, you describe what you want in plain English and Claude constructs the query. Want to see sales by product category, broken down by month, for returning customers only? Just ask.

When complete, you'll have access to specialized tools covering orders, products, customers, inventory, and marketing - everything you need to understand your ecommerce business through conversation.

Why Use AI for Shopify?

Every ecommerce marketer knows the pain of disconnected data. Meta says your campaign drove 50 purchases. Google claims 30 of those. Shopify shows 45 orders. Who's right? (Spoiler: probably none of them, exactly.)

This disconnect exists because each platform only sees part of the journey. Your ad platforms see clicks and attributed conversions. Shopify sees actual orders. Neither sees the full picture of which ads drive the best customers.

That's where Ad Superpowers comes in. By connecting Shopify with Meta, Google, TikTok, and GA4, you can finally ask cross-platform questions: "Which ad platform drives customers with the highest lifetime value?" "Do my TikTok customers have better retention than my Meta customers?" "What's my actual blended ROAS across all channels?"

The AI handles all the data correlation. You just ask questions and get answers. No more exporting to Excel, no more VLOOKUP nightmares, no more "let me get back to you on that" when your boss asks about marketing ROI.

Key Capabilities

Order analytics: revenue, AOV, order count, fulfillment status, payment methods
Product performance: sales by product, variant analysis, inventory levels
Customer insights: lifetime value, purchase frequency, segmentation
ShopifyQL: custom queries for sales, orders, products, customers by any dimension
Channel attribution: sales by source including ads vs organic
Inventory management: stock levels, reorder alerts, multi-location support

What You Can Do

Order analytics
Product performance
Customer insights
Inventory tracking
Revenue attribution
ShopifyQL queries

Available MCP Tools

0 tools

Example Prompts

Once connected, try asking Claude these questions about your Shopify data:

What were my top selling products this week?
Show me orders over €100 from last month
Which customers have the highest lifetime value?
What's my inventory status for best sellers?
How many abandoned carts did I have today?
Compare revenue from ads vs organic this month
Which products have the best margin?
Show me customer acquisition trends

Real-World Use Cases

True Revenue Attribution

Challenge:

Ad platforms over-report conversions due to attribution overlap. Understanding which ads actually drive revenue requires correlating store data with ad data.

Solution:

Compare ad platform reported conversions with actual Shopify orders to see true attribution and identify which campaigns genuinely drive revenue.

Example prompt:

Compare Meta's reported conversions to actual Shopify orders for this month. Where's the biggest discrepancy?

Customer Lifetime Value Analysis

Challenge:

Knowing which acquisition channels bring high-LTV customers requires tracking customer behavior long after the initial purchase.

Solution:

Analyze customer lifetime value by acquisition source to optimize for long-term revenue, not just initial purchases.

Example prompt:

What's the average lifetime value of customers acquired through Meta vs Google Ads? Who comes back more?

Product Performance Optimization

Challenge:

Deciding which products to promote means balancing revenue, margin, inventory levels, and ad performance.

Solution:

Get a complete product performance view combining sales data, margins, stock levels, and advertising efficiency.

Example prompt:

Which products have good margins, healthy inventory, and strong ad performance? What should I promote more?

Inventory-Aware Advertising

Challenge:

Nothing's worse than driving ad traffic to out-of-stock products. But pausing ads manually based on inventory is tedious.

Solution:

Monitor inventory levels alongside ad performance to optimize campaigns based on stock availability.

Example prompt:

Which products am I advertising that are running low on inventory? What should I pause or scale back?

Technical Specifications

API Version
Shopify GraphQL Admin API 2025-10
Rate Limits
1,000 cost points per query (Standard), 10,000 (Plus)
Data Freshness
Real-time for orders, near real-time for analytics
OAuth Scopes
read_productsread_ordersread_customersread_inventoryread_reports

Coming Soon

We're working on bringing Shopify to Ad Superpowers. Sign up now to be the first to know when it's available.

In the meantime, explore our available integrations including Meta Ads, Google Ads, Google Analytics, LinkedIn Ads, and TikTok Ads.

Frequently Asked Questions

Coming Soon

Shopify Integration is on the Way

Sign up to be notified when Shopify integration becomes available.