Overview
kubectl MCP Server enables controlling Kubernetes infrastructure through natural language commands. Available via NPM and pip, it provides comprehensive cluster management capabilities including debugging, cost optimization, security audits, and more.
Installation
NPM
npx kubectl-mcp-server
Python
pip install kubectl-mcp-server
Features
Cluster Operations
- View cluster information
- Node management
- Namespace operations
- Resource quotas
- Context switching
Workload Management
- Deploy applications
- Manage pods, deployments, services
- StatefulSets and DaemonSets
- Jobs and CronJobs
- Scaling operations
- Pod log streaming
- Execute commands in containers
- Port forwarding
- Resource inspection
- Event monitoring
- Troubleshooting assistance
Cost Optimization
- Resource usage analysis
- Right-sizing recommendations
- Unused resource detection
- Cost allocation tracking
- Efficiency metrics
Security Audits
- RBAC configuration review
- Security context analysis
- Network policy validation
- Secret and ConfigMap inspection
- Vulnerability scanning integration
Helm Integration
- Chart installation
- Release management
- Value customization
- Rollback operations
- Repository management
Natural Language Commands
Examples:
- "Show me all pods in production namespace"
- "Scale the frontend deployment to 5 replicas"
- "Check why the database pod is failing"
- "Install nginx using Helm"
- "Audit security settings for api-server"
- "Find pods using too much memory"
Use Cases
- Kubernetes cluster administration
- Application deployment automation
- Troubleshooting and debugging
- Cost optimization
- Security compliance
- Disaster recovery
- CI/CD integration
- Infrastructure monitoring
Advanced Features
Resource Management
- CPU and memory requests/limits
- Storage provisioning
- Network configuration
- Auto-scaling setup
Configuration
- ConfigMap and Secret management
- Environment variable handling
- Volume mounting
- Service discovery
Monitoring
- Metrics collection
- Health checks
- Liveness and readiness probes
- Performance analysis
Multi-Cluster Support
- Manage multiple clusters
- Context switching
- Cluster comparison
- Multi-cloud support
- Federated operations
Technical Implementation
Built with both Node.js and Python implementations, using official Kubernetes client libraries. Supports all kubectl functionality through natural language interface.
Integration
Compatible with Claude Desktop, Cursor, VS Code, and other MCP clients. Requires kubeconfig file or cluster credentials.
Security
- Respects Kubernetes RBAC
- Secure credential handling
- Audit logging
- No privilege escalation
- Encrypted communications
