Kubernetes

Summary

The kube-mcp server provides AI assistants with direct access to Kubernetes cluster operations through a set of specialized tools built with Python using the FastMCP framework. It enables capabilities like listing, creating, and managing pods, deployments, and services, as well as retrieving logs and cleaning up resources. The implementation includes predefined container templates for common images (Ubuntu, Nginx, Busybox, Alpine) with appropriate resource limits and health checks. It's particularly valuable for DevOps workflows requiring Kubernetes management within AI assistant conversations, allowing users to monitor cluster state, deploy test containers, and troubleshoot issues without switching to separate command-line tools.