Kubernetes

Provides a bridge between Kubernetes clusters and AI systems for monitoring, troubleshooting, and managing resources like pods, deployments, and services without requiring direct kubectl access.

K8s MCP Server provides a bridge between AI assistants and Kubernetes clusters, enabling management of various Kubernetes resources through a standardized protocol. This Go implementation supports operations like listing and retrieving pods, deployments, services, and configmaps, as well as performing actions such as scaling deployments and viewing pod logs. The server connects to Kubernetes clusters using either in-cluster configuration or kubeconfig files, with support for read-only mode to prevent destructive operations. Particularly valuable for DevOps workflows, it allows AI assistants to help with cluster monitoring, troubleshooting, and resource management without requiring direct access to kubectl.