Kong has rolled out a new feature called the MCP Registry within its Kong Konnect Catalog. This addition helps organizations register, find, and manage MCP servers and AI-native tools used in advanced AI applications. It aims to make it easier for enterprises to oversee their AI tools at scale and ensure everything runs smoothly and securely.

What is the MCP Registry?

The MCP Registry is an enterprise directory designed specifically for MCP servers and AI-native tools. It works within the existing Kong Konnect ecosystem, which already manages enterprise APIs. By integrating MCP into this system, Kong provides a centralized way to govern AI tools alongside traditional APIs.

This registry helps organizations keep track of their MCP servers, including details like API dependencies, ownership, and policies. It also connects MCP servers directly to the APIs they are built on, giving companies full visibility and control over their AI tools, similar to how they manage critical applications.

How does it improve AI governance?

By linking MCP servers with their associated APIs, the Kong MCP Registry allows enterprises to manage AI tools with the same level of oversight as their core infrastructure. This means organizations can enforce policies, monitor usage, and control access more effectively. It reduces risks and ensures compliance with enterprise standards.

Marco Palladino, Kong’s CTO, explains that this new registry extends the Konnect Service Catalog, offering a secure and scalable way to operationalize MCP. It helps ensure AI agents can discover and use approved tools safely, all while maintaining enterprise-grade governance, visibility, and control.

This development is part of Kong’s broader effort to support AI connectivity and make AI systems more manageable at scale. It builds on Kong’s existing AI Gateway and other AI-focused features to help firms move from small AI experiments to fully operational, governed AI environments.

Why is this important for enterprises?

Many companies are eager to adopt AI tools but face challenges moving from pilot projects to production systems. According to S&P Global, nearly half of companies abandon AI initiatives before they reach full deployment due to issues around cost, governance, and operational complexity.

Kong’s AI Connectivity roadmap aims to address these challenges. By providing a unified platform to route, govern, discover, and monetize AI workloads, Kong helps organizations scale their AI efforts securely and efficiently. The MCP Registry is a key part of this strategy, making it easier to manage and govern AI tools across the enterprise.

This launch signifies Kong’s commitment to building infrastructure that supports robust AI deployments. It helps organizations reduce friction and turn AI experiments into reliable, production-ready systems that can deliver real value at scale.

Inspired by

• https://ai-techpark.com/kong-introduces-mcp-registry-in-kong-konnect/