Kubernetes MCP Server

• Cluster resource management
• Pod and deployment operations
• Service and ingress configuration
• Namespace management
• ConfigMap and Secret handling
• Real-time cluster monitoring

A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters, translating natural language requests into Kubernetes operations.

• Deploy and manage containerized applications
• Monitor cluster health and resource usage
• Scale workloads based on demand
• Manage secrets and configuration data
• Troubleshoot deployment issues
• Automate cluster operations

• Uses kubeconfig for authentication
• Respects existing RBAC permissions
• Secure kubectl API integration
• Cluster-scoped access controls

• Verify kubeconfig file is valid and accessible
• Check kubectl connectivity to cluster
• Ensure proper RBAC permissions
• Confirm cluster is running and reachable

• List all pods in the default namespace
• Create a new deployment with specified image
• Scale a deployment to 5 replicas
• Get cluster node information and status