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Shopify

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shopify · CRM & Sales

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Connect in 1 click

The Shopify MCP Server connects your store's products, orders, customers, and inventory directly to any AI agent through a single hosted Model Context Protocol endpoint. Instead of stitching together Shopify's Admin API, webhooks, and custom scripts every time you want an AI assistant to check stock levels or process a return, this MCP server exposes clean, agent-callable tools that Claude, GPT, Gemini, or any other model-agnostic assistant can call the same way. For teams running Shopify as their storefront, this turns natural-language requests like "which SKUs are low on inventory" or "summarize this week's cancelled orders" into real, structured actions against your live store data.

Because BusinessMCP.com unifies your Shopify connection with the rest of your commerce stack — ad platforms, analytics, other business tools — under one hosted MCP server and business-intelligence dashboard, you're not managing yet another isolated integration. Connect Shopify once through /api/mcp using a Bearer mcph_* key, and every downstream agent or workflow inherits the same credentials, the same permissions, and the same audit trail. Order data, customer records, and product catalogs sit alongside ad spend and revenue metrics from other connected services, so an AI agent can answer questions that span systems — "did last week's ad spend correlate with a spike in Shopify orders" — without you writing custom glue code.

This Shopify MCP integration is built for e-commerce operators, agencies managing multiple Shopify stores, and product teams building AI-driven storefront tools. It fits naturally into inventory management automation, customer service copilots that need real order status, and reporting agents that need to pull fresh product and sales data on demand. Because the connection is cookieless and GDPR-friendly by design, it's suited to businesses that need to keep customer data handling compliant while still giving AI agents live access to store operations.

Under the hood, the server maps Shopify's core commerce objects — products, variants, orders, customers, inventory levels — into MCP tool calls that any supported AI agent can invoke without needing Shopify-specific API knowledge. That abstraction is the point: your engineering team stops maintaining bespoke Shopify integrations for every new AI tool that comes along, and instead maintains one hosted MCP server that all current and future agents share. Pair it with other connected data sources in the BusinessMCP dashboard and you get a business-intelligence view of how your Shopify store performs relative to ad platforms, price-comparison signals, and other revenue channels — all through the same /api/mcp endpoint, model-agnostic and ready for whichever AI agent your team standardizes on next.

$ npx mcphosting-cli add shopify

Just say it in a thread

No configs, no docs. Once connected, these are the kinds of messages your agents act on.

"Retrieve products and variants from the connected shopify store, with optional filters like status or collection — and give me the highlights."

"Adjust stock quantity for a specific product variant at a given location for me, then post a summary in the thread."

"Fetch full order information including line items, fulfillment status, and payment status by order id and flag anything that needs my approval."

What teams use it for

  • Let a support AI agent look up order status and issue refunds directly from a Shopify store
  • Automate low-stock alerts by having an agent query inventory levels across all product variants
  • Generate weekly sales and customer summaries by pulling live Shopify order data into a BI dashboard
  • Sync product catalog changes so AI shopping assistants always reflect current pricing and availability
  • Cross-reference Shopify order spikes with ad spend from connected platforms to gauge campaign ROI

Agent-callable tools

get_product_list

Retrieve products and variants from the connected Shopify store, with optional filters like status or collection.

update_inventory_level

Adjust stock quantity for a specific product variant at a given location.

get_order_details

Fetch full order information including line items, fulfillment status, and payment status by order ID.

create_customer_record

Create a new customer profile in Shopify with contact and address details.

list_recent_orders

Return a filtered list of recent orders by date range, status, or fulfillment state.

process_refund

Issue a full or partial refund against a specified order.

update_product_price

Change the price of a product or variant in the Shopify catalog.

search_customers

Look up customer records by email, name, or order history.

Your data stays yours

Credentials live in your vault. We route requests — we never store, log, or train on your data.

Works with every AI

Connect once — portable across Claude, GPT, Gemini, and every local agent you run.

Frequently asked questions

What Shopify data can an AI agent access through this MCP server?

Agents can read and manage products, variants, orders, customers, and inventory levels through standardized MCP tool calls against your connected Shopify store.

How does this integrate with BusinessMCP's business-intelligence dashboard?

Once connected via /api/mcp, your Shopify data sits alongside other connected tools and revenue sources, letting the dashboard surface cross-platform insights like order trends versus ad spend.

Do I need separate integrations for each AI model I use?

No — the Shopify MCP server is model-agnostic, so Claude, GPT, Gemini, or any MCP-compatible agent can use the same hosted endpoint and Bearer mcph_* key.

Give your AI team the Shopify skill

Free forever plan, no credit card. Connected and working in under five minutes.

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