About
kubectl-mcp-server enables natural language control of Kubernetes clusters, allowing AI assistants to manage infrastructure through conversational commands as if talking to a DevOps expert. Key capabilities: - Debug crashed pods and diagnose container issues by describing symptoms in natural language - Deploy applications and manage Kubernetes resources (deployments, services, ingress, configmaps) - Install and manage Helm charts for package deployment - Optimize cluster costs and audit security configurations - Visualize dashboards and monitor cluster health - Execute kubectl commands with granular RBAC controls for safe, scoped access
README
kubectl-mcp-server
Control your entire Kubernetes infrastructure through natural language conversations with AI. Talk to your clusters like you talk to a DevOps expert. Debug crashed pods, optimize costs, deploy applications, audit security, manage Helm charts, and visualize dashboards—all through natural language.
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Installation
Quick Start with npx (Recommended - Zero Install)
# Run directly without installation - works instantly!
npx -y kubectl-mcp-serverOr install globally for faster startup
npm install -g kubectl-mcp-server
Or install with pip (Python)
# Standard installation
pip install kubectl-mcp-serverWith interactive UI dashboards (recommended)
pip install kubectl-mcp-server[ui]
📑 Table of Contents
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What Can You Do?
Simply ask your AI assistant in natural language:
💬 "Why is my pod crashing?"
💬 "Deploy a Redis cluster with 3 replicas"
💬 "Show me which pods are wasting resources"
💬 **"Which services can't reach the database
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