Zoovu Launches MCP Server to Enhance AI Agents in Ecommerce
Zoovu, a leader in AI product search and discovery for enterprise commerce, has launched the MCP Server, a new product designed to improve the effectiveness of AI agents in ecommerce. This innovation provides AI agents with governed access to enriched and standardized product data, aiming to improve sales, maintain brand integrity, and enhance the customer buying experience.
Why AI Agents Need Better Data
In today’s digital landscape, AI agents are increasingly being deployed across various customer and employee workflows. However, these agents often struggle with complex, real‑world product inquiries due to fragmented and inconsistent product information. The Zoovu MCP Server addresses this issue by connecting any MCP‑compatible agent to a centralized source of product data, ensuring consistent and trustworthy information.
Market Potential
The potential impact of this technology is substantial. According to McKinsey research, the US B2C retail market alone could see up to $1 trillion in orchestrated revenue from agentic commerce by 2030, with global projections reaching as high as $3 trillion to $5 trillion. This highlights the importance of making AI agents reliable and effective in handling product‑related queries.
Executive Insight
Jonathan Taylor, CTO and Co‑Founder at Zoovu emphasizes the significance of this development: “Building an AI agent is easy; making that agent trustworthy for real product decisions is the hard part. Zoovu MCP Server gives every AI agent a safe, consistent way to tap into the product truth our customers already rely on. It turns agents into reliable advisors who can make accurate, explainable recommendations without rebuilding data models from scratch.”
Early Adoption Success
Early adopters of the MCP Server have already seen tangible benefits. For instance, a global medical device manufacturer with over $2 billion in revenue connected its internal agent to the MCP Server and observed immediate improvements in accuracy for procedure‑specific and compatibility questions. This led to more inquiries being resolved instantly and increased usage by sales and support staff.
Broad Use‑Case Coverage
The MCP Server is designed to support a wide range of agentic commerce use cases, from Generative Engine Optimization (GEO) to instant checkout on gen‑AI platforms and emerging agent‑to‑agent commerce models. This ensures that organizations are well‑prepared for the next wave of innovations in agentic commerce.
Conclusion
Zoovu’s MCP Server is a game‑changer for enterprises looking to leverage AI agents in their ecommerce operations. By providing a standardized and governed interface for product data, the MCP Server ensures that AI agents can deliver accurate and consistent recommendations, ultimately enhancing the customer experience and driving sales.
