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Improvado connects Square to Claude, ChatGPT, and other AI agents through an MCP server. Ask about transactions, refunds, inventory, and customer behavior in plain English — across all your locations and product catalogs without touching the Square dashboard.
Stop downloading transaction reports and stitching CSVs together. Your AI agent queries Square payments, refunds, item sales, and customer activity directly through the MCP server — across all locations and date ranges in one request.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent can update inventory counts, modify item prices, apply discounts, and manage customer profiles in Square directly from a conversation. The MCP server handles the Square API calls — describe the change, confirm, done.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up automated watches on the sales signals that matter. Your AI agent monitors Square transactions, inventory levels, and refund rates continuously — alerting you before a slow day becomes a slow week.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent can update inventory counts, modify item prices, apply discounts, and manage customer profiles in Square directly from a conversation. The MCP server handles the Square API calls — describe the change, confirm, done.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Organizations with multiple Square locations have to download separate transaction reports for each location and manually combine them to get a consolidated view. This happens every time leadership asks for a cross-location summary — which is often.
Improvado aggregates data from all Square locations under one MCP endpoint. Your AI agent returns consolidated or location-specific results in a single query — no CSV merging, no manual reconciliation.
Square's inventory tracking updates with a delay and doesn't proactively alert teams when fast-moving items are running low. Stockouts happen because no one checked the dashboard at the right time — leading to missed sales and frustrated customers.
Improvado monitors Square inventory data continuously. The MCP server lets your AI agent set automated low-stock thresholds and alert the right person before an item runs out — turning reactive restocking into proactive management.
Understanding why refunds happen requires manually reviewing individual transactions in the Square dashboard. There's no built-in aggregation by reason code, product, or location — so refund trends go unnoticed until they've cost significant revenue.
Improvado normalizes Square transaction and refund data into a structured model. Your AI agent can aggregate refunds by reason, product, time period, and location — surfacing patterns that indicate product issues, staff training gaps, or fraud.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Square does not currently offer an official MCP server. Improvado provides a hosted MCP server that connects Square to Claude, ChatGPT, Cursor, and other AI tools. Your Square account is authenticated once — no local setup or API key management required.
Transactions, payments, refunds, disputes, item sales, catalog, inventory, customer profiles, loyalty activity, and location data. Improvado normalizes Square's API responses into a structured model that AI agents can query in natural language across all your locations and date ranges.
Yes. The MCP server supports write operations: updating catalog item prices, adjusting inventory counts, creating discount codes, and managing customer profiles. Each write action is surfaced for your review before it executes in Square.
Yes, and this is one of the strongest use cases. Improvado connects all your Square locations under one MCP endpoint. Your AI agent can query a specific location or return consolidated results across all locations in the same conversation — replacing the manual CSV-download-and-merge workflow entirely.
Yes. Square's API organizes data by location, and Improvado MCP extracts records across all locations associated with your Square account. AI agents can compare sales volume, average transaction size, item performance, and payment method breakdown by location, or aggregate metrics across all locations for a business-level view. This eliminates the need to manually export and merge location-level reports from Square Dashboard.
Improvado MCP focuses on the core Square Commerce APIs covering payments, orders, catalog, customers, and inventory. Square Banking and Square Payroll use separate API surfaces with more restricted access scopes. Availability of these modules in Improvado MCP depends on the API permissions your Square account has granted and the specific Improvado connector configuration — contact your Improvado representative to confirm which Square API surfaces are in scope for your setup.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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