The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.

AI-native Internal Developer Platform for Kubernetes and automated GitOps. Manage infrastructure, deployments, and databases through natural language. https://mctl.ai/mcp/

Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.