Square MCP. Manage Payments and Inventory from Chat.

Square MCP Server - Payments, Inventory & CRM Tools

Your AI client connects directly to your full Square account. You use this server to automate commerce tasks that usually mean jumping through a dozen different apps. It lets you manage everything from processing sales to checking stock counts without ever leaving your chat window.

Processing Transactions and Financial Data

To run a new sale, simply call create_payment, which generates a complete payment record right in your Square account. You can pull a list of recent payments using list_payments; this tool even lets you filter by date ranges or payment types to narrow down the data. If you need deep metadata on any completed or pending transaction, use get_payment_details to grab all the specifics about that payment record.

Managing Customers and Leads

You don't gotta guess who bought what; your AI client handles it. You can search for specific customer profiles by name or other identifying details using search_customers. If you know the ID, get_customer retrieves all the specific profile information for that one person. For a full roster of everyone in your database, use list_customers to return a list of every single customer profile stored in Square.

Tracking Orders and Store Activity

You can pull metadata for an entire order lifecycle using get_order_details, which includes line items and the grand totals. To check historical sales across your business, you search for store orders with search_orders; this function requires you to specify which location IDs you want it to look through.

Inventory and Product Catalog Management

When you need to know what you've got on hand, use the tools. To get the current inventory level for any specific catalog item SKU, just run get_stock_count. For a complete view of every product available in your store, list_catalog shows you the entire product list across all categories. You can also check out all the physical and online business sites you manage by calling list_store_locations, which returns a comprehensive list of all your locations.

Putting It All Together

The server lets you combine these functions into complex workflows. For example, if you need to know how many widgets you have in stock (get_stock_count) and want to verify the purchase history for a client named Bob (search_customers), your AI client executes both steps sequentially within one conversation thread. You can also pull up all orders associated with a specific location ID that you just pulled from list_store_locations, giving you a complete view of operations without switching tabs.

This setup lets you run complex business logic—like checking stock levels across multiple locations or reviewing a customer's entire order history while simultaneously processing a new payment—all using natural conversation. It’s built to handle the whole commerce stack, making sure your AI agent has all the data it needs right where it is.