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Kavrynt

Kubernetes-native MCP operations and control-plane infrastructure for AI agent systems.

Overview

Kavrynt is infrastructure, not an application. It addresses how MCP servers are registered, discovered, routed and governed inside real production environments where AI agent systems need to operate reliably and under control.

The problem

AI agent systems are moving into production faster than the operational infrastructure required to run them safely. Registration, discovery, routing and governance of MCP servers remain largely improvised.

The opportunity

A Kubernetes-native control plane makes agent infrastructure operable with the same rigour teams already apply to services, workloads and networking.

The product

  • MCP server registration
  • Discovery
  • Routing
  • Registry
  • Gateway
  • Operator functionality
  • Production AI infrastructure primitives

Technology

  • Kubernetes operators and custom resources
  • Control-plane architecture
  • Service registry and gateway patterns
  • Model Context Protocol (MCP)

AI role

Kavrynt is the substrate AI systems run on. Its role is operational control, not model output.

Market & users

Engineering and platform teams deploying AI agent systems into production environments.

Current stage

Active technical development.Industries: AI Infrastructure, Developer Tooling, Cloud Platforms