shopify · MCP Server

Connect Shopify to AI with Improvado MCP

Improvado's MCP server connects Shopify to Claude, Cursor, and other AI agents. Query your Shopify data in natural language — no manual exports or API scripts required.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Instant Answers from Shopify

Stop exporting CSVs to answer basic questions. Ask your AI agent for sales trends, product performance, customer lifetime value, and inventory levels — across every Shopify store in your portfolio, instantly.

Example prompts

"What are the top 10 products by revenue this month across all three Shopify stores? Include AOV and units sold."

30 min → 45 sec

"Show me the refund rate by product category for the last 30 days. Flag any category above 5%."

25 min → 30 sec

"Which customer segments had the highest repeat purchase rate this quarter? Break down by acquisition channel."

2 hrs → 2 min

Works with Claude ChatGPT Cursor +5

Write

Write: Automate Shopify Actions

Update product pricing, apply discount codes, adjust inventory, and manage collections — without clicking through the Shopify admin. Your AI agent handles the operations while you focus on strategy.

Example prompts

"Apply a 15% discount to all products in the 'Summer Collection' that have had zero sales in the last 14 days."

45 min → 2 min

"Create a new discount code 'RESTOCK20' for 20% off, valid for 7 days, limit 500 uses."

10 min → 30 sec

"Update the meta description for all products in the 'Accessories' collection that currently have no SEO description set."

2 hrs → 5 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Catch Shopify Issues Before They Escalate

Track sales velocity, inventory levels, and conversion rates automatically. Get alerted when a product goes out of stock, a discount is being abused, or conversion rate drops unexpectedly — before it impacts revenue.

Example prompts

"Alert me when any product's inventory drops below 10 units and it has sold more than 5 units in the last 7 days."

Manual → auto

"Daily: send me a summary of orders, revenue, and any cart abandonment rate changes vs. the previous 7-day average."

1 hr → auto

"Flag any discount code that exceeds 50 uses in a single hour — potential misuse or viral spread."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Multi-Marketplace Data Lives in Separate Silos

The problem

Brands selling across Shopify, Amazon, and Walmart face a data fragmentation problem: each platform has a different reporting interface, different attribution logic, and different export formats. Getting a true cross-channel view of which products perform best across all marketplaces requires hours of manual data stitching every week.

How MCP solves it

Improvado normalizes Shopify, Amazon, and Walmart data into a unified schema. Your AI agent queries all three marketplaces in one prompt — compare product performance, identify channel-specific winners, and allocate inventory where it sells fastest.

Try asking

Compare the top 20 SKUs across Shopify, Amazon, and Walmart: units sold, revenue, and return rate for each channel. Which SKUs should we prioritize for restocking?

Answer in seconds

All data sources, one query

Challenge 2

Shopify's GraphQL API Requires Specialist Skills

The problem

Shopify's GraphQL connector requires understanding query structure, pagination cursors, cost limits, and field availability by plan tier — a barrier many teams hit when trying to connect Shopify data to their analytics stack. Without a developer who knows the API, advanced data extraction becomes a bottleneck.

How MCP solves it

Improvado's MCP server handles all GraphQL complexity server-side. Your AI agent queries any Shopify data in plain English — no GraphQL syntax, no pagination logic, no cost limit management. Ask for what you need and get it.

Try asking

Show me all orders from the last 30 days where the customer used a discount code, grouped by discount code name, with total revenue and average order value.

Full detail preserved

No data loss on export

Challenge 3

Seasonal Inventory Planning Requires Data You Can't Easily Pull

The problem

Accurate inventory forecasting for seasonal events requires combining current inventory levels, historical sales velocity, current ad spend by product, and warehouse lead times. None of this lives in a single Shopify report. Building the analysis manually takes a full day — and by the time it's done, something has changed.

How MCP solves it

Your AI agent pulls current inventory, sales velocity from Shopify, and ad spend data from your connected ad platforms simultaneously. It generates an inventory risk assessment — which SKUs will stockout based on current run rate, how many days until zero, and how to reallocate ad budget away from products with insufficient stock.

Try asking

Given current inventory levels and the last 30 days of sales velocity, which products will stockout before Black Friday? Include current ad spend on those products.

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

What is Shopify MCP?

Shopify MCP is a Model Context Protocol server that gives AI agents like Claude, ChatGPT, and Gemini direct access to your Shopify store data — orders, products, customers, inventory, discounts, and analytics. You can query and manage your store in natural language without logging into Shopify admin or writing API scripts — all through Improvado's hosted MCP server.

Which Shopify data can I access through the MCP server?

Orders (including line items, fulfillment status, refunds), products and variants (inventory, pricing, metafields), customers and purchase history, discount codes and usage, collections, sales analytics, and store settings. Works with both Shopify and Shopify Plus accounts.

Can the AI agent modify Shopify data or only read it?

Both. Read operations cover querying orders, products, customers, and analytics. Write operations include updating product prices and descriptions, creating discount codes, adjusting inventory levels, updating order fulfillment status, and managing collections. Write permissions are scoped to your Shopify API key during setup.

Does this work for multi-store Shopify setups?

Yes. Connect multiple Shopify stores to a single Improvado account and query them all in one prompt. Cross-store analysis — comparing product performance, consolidating order data, or normalizing SKUs across stores — is handled automatically.

Can I combine Shopify data with ad platform data?

Yes, and this is one of Improvado's core strengths. With Improvado MCP, you can query Shopify revenue data alongside Google Ads, Meta Ads, or Amazon Ads data in the same prompt. Compare ad spend to actual Shopify revenue, calculate true ROAS, and attribute orders to campaigns — all in natural language.

Is my Shopify store data secure?

Yes. Improvado stores all Shopify API credentials in an encrypted vault certified to SOC 2 Type II. Your AI agent never has direct access to raw API keys. All data requests go through Improvado's secure proxy, and you control which Shopify data scopes the integration can access.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms