Square MCP Server

A Model Context Protocol (MCP) server that seamlessly integrates Square's payment processing and business management platform into your AI workflows. This server enables AI assistants to interact with Square's ecosystem, providing access to payment data, inventory management, customer information, and business analytics through a standardized interface.

Overview

The Square MCP Server acts as a bridge between AI applications and Square's comprehensive suite of business tools. By implementing the Model Context Protocol, this server allows AI assistants to retrieve transaction histories, manage product catalogs, access customer records, and generate business insights—all through natural language interactions.

Features

Payment and Transaction Management

• Access detailed transaction histories and payment records
• Retrieve information about refunds, disputes, and settlements
• Query payment method details and processing status
• View sales data across different time periods and locations

Inventory and Catalog Operations

• Browse and search product catalogs
• Check inventory levels and stock availability
• Access item variations, pricing, and category information
• Retrieve modifier groups and customization options

Customer Relationship Management

• Access customer profiles and contact information
• View customer purchase history and preferences
• Retrieve loyalty program data and reward balances
• Access customer group and segment information

Business Analytics

• Generate sales reports and revenue summaries
• Access performance metrics across locations and time periods
• Retrieve tax and fee breakdowns
• View employee performance data and shift information

Use Cases

Financial Reporting: AI assistants can help generate comprehensive financial reports by pulling transaction data, calculating totals, and identifying trends across your business operations.

Inventory Insights: Get real-time answers about stock levels, best-selling products, and inventory turnover without manually navigating through dashboards.

Customer Service: Enable support teams to quickly access customer purchase histories, loyalty information, and transaction details during conversations.

Business Intelligence: Transform raw Square data into actionable insights through natural language queries, making data analysis accessible to non-technical team members.

Getting Started

Once connected, you can interact with your Square data through natural language queries. The server handles authentication and API communication, translating your requests into appropriate Square API calls and returning formatted responses that AI assistants can easily process and present.