Zoovu, the AI product search and discovery platform for enterprise commerce, has unveiled Zoovu MCP Server, a Model Context Protocol (MCP) server that provides AI agents with governed access to rich, standardized product data. The new server aims to help enterprises accelerate sales, maintain brand integrity, and deliver more accurate and trustworthy AI-driven shopping experiences.
As AI agents proliferate across customer and employee workflows, many struggle to handle complex, real-world product queries. Product information is often fragmented, lacks customer-centric context—like use cases, reviews, and benefits—and relies on rules or relationships that AI agents cannot reliably infer. The result is inconsistent answers and potentially risky recommendations.
Solving the Product Data Challenge
Zoovu MCP Server connects any MCP-compatible agent to enriched product data, configuration logic, and GenAI product experts. This allows AI agents to search, compare, configure, and explain products with accuracy and consistency, using Zoovu as a centralized product brain rather than stitching together incomplete data.
“Building an AI agent is easy; making it trustworthy for real product decisions is the hard part,” said Jonathan Taylor, CTO and Co-Founder of Zoovu. “Zoovu MCP Server gives every AI agent a safe, consistent way to tap into the product truth our customers rely on.”
Early Success and Enterprise Impact
Early adopters are already seeing results. A global medical device manufacturer with over $2 billion in revenue connected its internal agent to Zoovu MCP Server and immediately improved accuracy on procedure-specific and compatibility queries. This led to faster resolutions, higher agent adoption, and increased productivity among sales and support staff.
High-Value Use Cases for Agentic Commerce
Zoovu MCP Server enables enterprises to deploy AI agents in multiple high-value scenarios:
- Internal sales and support agents answering complex product questions accurately, reducing escalations and improving productivity.
- On-site shopping agents recommending, comparing, and configuring products in real time to increase conversion and order value.
- Customer service agents resolving product-focused inquiries without specialist escalation.
- ChatGPT apps and custom GPTs leveraging structured, rules-aware product intelligence to search, filter, compare, and explain products across marketplaces.
“MCP Server extends Zoovu’s product intelligence to every AI agent, giving enterprises the accuracy, governance, and consistency they need to integrate AI into core commerce operations,” Taylor added.
Preparing for the Future of Agentic Commerce
Beyond current use cases, Zoovu MCP Server positions organizations for next-generation agentic commerce, including Generative Engine Optimization (GEO), instant checkout, and emerging agent-to-agent commerce models. By providing a single, governed interface for product knowledge, Zoovu MCP Server ensures agents understand product constraints and logic while maintaining brand and operational control.
The server is now available to all Zoovu customers and supports any MCP-compatible agent, including internal systems, third-party platforms, and ChatGPT apps, offering enterprises a scalable, trustworthy foundation for AI-powered commerce.
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