ai12z adds Shopify integration, Model Context Protocol (MCP) support, and AI response analysis to its agentic platform

New updates make it easier for organizations to deploy agents that deliver eCommerce experiences, connect to live data, and optimize AI interactions.

BOSTON, July 9, 2025 /PRNewswire/ -- ai12z has introduced a new set of enhancements to its platform, bringing eCommerce functionality through a Shopify integration, real-time data connectivity via Model Context Protocol (MCP), and deeper insight into how AI responses are generated.

Imagine an agent—also known as an AI assistant or digital assistant—that fully represents your organization, answers user questions, and guides them to the next step in their journey. Whether that means discovering a product, checking an order, making a reservation, or resolving a support issue, your assistant is now equipped to make it happen.

Model Context Protocol (MCP): Real-time integrations without the heavy lift
At the core of this release is support for Model Context Protocol (MCP), a new open standard that allows agents to connect to external systems through a shared, unified structure. MCP eliminates the need to build custom integrations for every service. Your agent can now access a growing ecosystem of compatible systems—such as CRMs like Salesforce or HubSpot, reservation platforms, inventory tools, and more. Connections are fast, salable, and require no custom code. This enables real-time, dynamic responses at scale with far less effort.

Shopify integration: Let your agent drive the sale
Our new Shopify integration, built using MCP, transforms your assistant into an interactive eCommerce layer for your website. Users can ask for exactly what they're looking for, such as "I'm looking for women's polarized sunglasses that are great for road running," and the assistant returns tailored product results in rich formats like carousels or scrollable lists. It can check product availability, retrieve order status, and view cart contents directly within the conversation. This creates an engaging shopping experience that helps users move from product discovery to purchase, helping drive higher conversion and revenue.

Analyze Response: Gain insight into agent responses and optimize them
To help teams better understand how an agent generates responses, we've introduced Analyze Response. This new feature lets you inspect how a specific answer was generated and offers suggestions for improving the system prompt behind it. Whether you're part of an internal team fine-tuning your agent or an agency managing multiple clients, Analyze Response brings visibility and control to assistant behavior. It simplifies debugging, enhances quality assurance, and supports continual improvement.

These new capabilities enable organizations to build action-oriented agents that engage users, support real-time needs, and deliver measurable results.

For more information about ai12z, please visit https://ai12z.com/.

About ai12z

ai12z powers AI agents on websites and mobile apps, enabling users to find information, complete tasks, and make purchasing decisions through conversational experiences. From personalized product discovery to real-time data access, ai12z helps organizations deploy digital assistants that drive engagement, support, and sales. Learn more at https://ai12z.com.

Media Contact:
Nicole Rogers
+1 (978) 415-9612
[email protected]

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SOURCE ai12z, Inc.

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