Kai - kubernetes MCP server

A Model Context Protocol (MCP) server for managing a Kubernetes cluster through llm clients like Claude, Ollama.

Overview

Kai MCP server provides a bridge between large language models (LLMs) clients and your Kubernetes clusters, enabling users to interact with their Kubernetes resources through natural language. The server exposes a comprehensive set of tools for managing clusters, namespaces, pods, deployments, services, and other Kubernetes resources.

Features

• Pods - Create, list, get, delete, and stream logs
• Deployments - Create, list, describe, and update deployments
• Services - Create, get, list, and delete services
• Cluster Management - Connect, list, switch, and monitor clusters
• Namespaces - Create, list, update, and delete namespaces
• Ingress - HTTP/HTTPS routing and TLS configuration
• ConfigMaps & Secrets - Configuration and secret management
• Jobs & CronJobs - Batch workload orchestration
• Nodes - Node monitoring, cordoning, and draining
• Utilities - Port forwarding, events, and API exploration
• Persistent Volumes - Storage management and claims
• RBAC - Role-based access control
• Custom Resources - CRD and custom resource operations

Requirements

The server will by default connect to your current context. Make sure you have:

Access to a Kubernetes cluster configured for kubectl (e.g. minikube, Rancher Desktop, EKS, GKE, etc.)

Installation

To install the Kubernetes MCP server, run:

go install github.com/basebandit/kai/cmd/kai

Integration with Claude for Desktop

code ~/Library/Application\ Support/Claude/claude_desktop_config.json

Add the server to your Claude for Desktop configuration by editing claude_desktop_config.json:

{
  "mcpServers": {
    "kubernetes": {
      "command": "/path/to/kai binary"
    }
  }
}

!Kubernetes MCP Server