Patchworks has announced the introduction of Patchworks MCP (Model Context Protocol) for its customers.
Built on an API-first architecture, Patchworks MCP works directly with the Patchworks iPaaS, enabling retail AI assistants and automation tools to query data, monitor workflows, troubleshoot issues, and orchestrate actions across retail systems in real time.
While AI agents are increasingly used across retail, most remain disconnected from live operational systems. They can summarise data and make recommendations, but they lack the context and access required to take meaningful action. Patchworks MCP closes this gap by allowing AI tools to interact directly with Patchworks-managed integrations, making retail AI conversational, operational, and actionable.
By connecting AI directly to the Patchworks integration layer, MCP provides a standardised interface between a retailer’s integration layer and AI assistants, allowing AI to interact with real-time operational context across commerce platforms, ERPs, inventory systems, and logistics environments, without requiring custom point-to-point integrations.
“Retailers are being told that AI agents are ready to transform operations, but in reality, most AI still sits outside the systems that matter,” said Jim Herbert, CEO of Patchworks. “We introduced MCP for our customers to close that gap, and to give retail AI assistants and automation tools secure, real-time access to the systems and workflows that run the business.”
Without reliable access to the systems that run the business, AI remains disconnected from day-to-day retail operations. Patchworks MCP addresses this challenge by creating a consistent, secure interface between AI tools and the underlying integration infrastructure retailers already rely on.
For retailers, MCP provides a practical foundation for AI adoption by:
- Safely exposing operational context to AI tools using a standardised protocol.
- Reducing integration complexity by eliminating custom, brittle connections.
- Accelerating troubleshooting by allowing AI to automate triage, identify root causes, and suggest solutions across complex integration flows.
- Enabling scalable automation that turns insight into action across the retail value chain
By enabling AI tools to interact with live integrations, Patchworks MCP unlocks practical, day-to-day use cases across retail teams. Customer support teams can ask questions like, “Show me all failed Shopify to NetSuite flows from last night and explain why,” and receive immediate, context-aware responses grounded in real integration data. Operations teams can use MCP to identify and resolve issues faster by asking AI assistants to re-run failed flows from the previous day or highlight anomalies across systems. Development teams can speed up troubleshooting and testing by requesting payload samples flowing through specific integrations, such as “Give me payload samples going into Order Flow X,” without manually digging through logs. These conversational workflows reduce friction between teams and systems, allowing retailers to respond faster and operate with greater confidence.
The launch of MCP follows further momentum for Patchworks within the Shopify ecosystem. Patchworks has been featured in Shopify Editions Winter ’26 within the B2B and ERP Integrations category, following Shopify’s expansion of native B2B capabilities.
As retailers increasingly run both direct-to-consumer and B2B operations on Shopify, ERP and back-end integrations have become some of the most complex and mission-critical components of the commerce stack. Patchworks enables merchants to unify Shopify with ERPs and downstream systems, supporting advanced B2B workflows while maintaining performance, scalability, and operational visibility.
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