AWS EKS MCP Server
Enables creating and managing AWS EKS clusters via Terraform, including VPC, node groups, add-ons, and kubectl configuration.
README
AWS EKS MCP Server
Comprehensive MCP server for creating and managing AWS EKS (Elastic Kubernetes Service) clusters using Terraform.
Features
Terraform Generation & Execution
- generate_eks_terraform - Generate complete Terraform configs (VPC, EKS, node groups, IRSA)
- eks_terraform_init - Initialize Terraform
- eks_terraform_plan - Preview infrastructure changes
- eks_terraform_apply - Create/update EKS cluster
- eks_terraform_destroy - Destroy cluster and all resources
Kubectl Configuration
- configure_kubectl - Automatically configure kubectl to access the cluster
Add-on Management
- install_addon - Install common EKS add-ons:
- AWS Load Balancer Controller
- Metrics Server
- Cluster Autoscaler
- External DNS
- Cert Manager
Cluster Management
- upgrade_eks_cluster - Upgrade Kubernetes version
- list_eks_clusters - List all EKS clusters
- describe_eks_cluster - Get detailed cluster info
- get_eks_node_groups - List and describe node groups
- scale_node_group - Scale node groups up/down
What Gets Created
When you generate and apply an EKS Terraform configuration, you get:
Networking
- VPC with public and private subnets across 3 AZs
- NAT Gateways for private subnet internet access
- Internet Gateway for public subnets
- Proper subnet tagging for EKS/ALB
EKS Cluster
- EKS control plane with specified Kubernetes version
- IRSA (IAM Roles for Service Accounts) enabled
- Managed node group with auto-scaling
- EBS CSI driver (optional)
- Security groups configured
IAM
- EKS cluster IAM role
- Node group IAM role
- IRSA OIDC provider
- EBS CSI driver IAM role (if enabled)
- Cluster Autoscaler IAM role (if enabled)
Prerequisites
- Python 3.10+
- Terraform >= 1.0
- AWS CLI configured
- kubectl installed
- Helm (for add-on installation)
- boto3 Python library
Installation
cd ~/.mcp-servers/eks-mcp-server
pip install -r requirements.txt
Configuration
Add to ~/.claude/settings.json:
{
"mcpServers": {
"eks": {
"command": "python3",
"args": ["/Users/youruser/.mcp-servers/eks-mcp-server/server.py"],
"env": {
"EKS_WORKSPACE": "/Users/youruser/eks-clusters"
}
}
}
}
Usage Examples
Create a New EKS Cluster
User: "Generate Terraform for an EKS cluster named production-cluster in us-west-2 with Kubernetes 1.29"
User: "Use t3.large instances with 3 nodes minimum and 10 maximum"
User: "Enable EBS CSI driver and cluster autoscaler"
Claude: [generates complete Terraform configuration]
User: "Initialize and plan the Terraform"
Claude: [runs terraform init and plan]
User: "Apply the configuration"
Claude: [creates the entire EKS cluster]
User: "Configure kubectl for this cluster"
Claude: [updates kubeconfig]
Manage Existing Cluster
User: "List all EKS clusters in us-east-1"
User: "Describe the production-cluster"
User: "Show me the node groups"
User: "Scale the node group to 5 desired nodes"
User: "Install the AWS Load Balancer Controller"
User: "Install metrics-server"
Upgrade Cluster
User: "Upgrade production-cluster to Kubernetes 1.30"
Claude: [initiates rolling upgrade]
Generated Terraform Structure
~/eks-clusters/
└── my-cluster/
├── main.tf # VPC, EKS, node groups, IRSA
├── variables.tf # Configurable parameters
└── outputs.tf # Cluster endpoints, IDs, kubectl command
Terraform Modules Used
- terraform-aws-modules/vpc/aws - Production-ready VPC
- terraform-aws-modules/eks/aws - EKS cluster and node groups
- terraform-aws-modules/iam/aws - IRSA IAM roles
Default Configuration
- VPC CIDR: 10.0.0.0/16
- Subnets: 3 public + 3 private (one per AZ)
- Node Instance Type: t3.medium
- Node Count: 2 desired, 1-4 scaling range
- Disk Size: 20 GB
- Kubernetes Version: 1.29
- IRSA: Enabled
- EBS CSI Driver: Enabled
Add-on Installation
The server can install these add-ons via Helm or kubectl:
AWS Load Balancer Controller
Enables ALB and NLB ingress for your applications.
Metrics Server
Required for Horizontal Pod Autoscaler (HPA) and kubectl top.
Cluster Autoscaler
Automatically scales node groups based on pod resource requests.
External DNS
Automatically creates Route53 DNS records for Ingresses.
Cert Manager
Automates TLS certificate management with Let's Encrypt.
Cluster Upgrade Process
When you upgrade a cluster:
- Control plane is upgraded first (rolling, zero-downtime)
- Add-ons may need updating to match new K8s version
- Node groups should be upgraded separately (after control plane)
- Update Terraform config and run
eks_terraform_applyto upgrade nodes
Cost Considerations
Typical EKS cluster costs:
- EKS Control Plane: $0.10/hour (~$73/month)
- EC2 Nodes: Varies by instance type
- t3.medium: ~$0.0416/hour (~$30/month per node)
- t3.large: ~$0.0832/hour (~$60/month per node)
- NAT Gateways: $0.045/hour per AZ (~$32/month each)
- Data Transfer: Varies
Cost Optimization:
- Use single NAT Gateway for dev environments
- Enable cluster autoscaler to scale down during off-hours
- Use Spot instances for fault-tolerant workloads
- Right-size instance types based on actual usage
Security Best Practices
- Enable cluster logging (CloudWatch)
- Use private API endpoint for production
- Implement Pod Security Standards
- Enable secrets encryption using KMS
- Use IRSA instead of instance profiles
- Regular security updates (upgrade K8s version)
- Network policies to restrict pod communication
- Use AWS WAF with ALB
Troubleshooting
Terraform fails with "Error creating EKS Cluster"
- Check AWS service quotas
- Verify IAM permissions
- Ensure region supports EKS
Node groups stuck in "CREATE_FAILED"
- Check EC2 instance limits
- Verify subnet has available IP addresses
- Review node IAM role permissions
kubectl can't connect
- Run
configure_kubectltool again - Verify AWS credentials are current
- Check cluster endpoint is accessible
Add-on installation fails
- Ensure Helm is installed
- Verify kubectl is configured
- Check cluster has internet access (for pulling images)
Environment Variables
- EKS_WORKSPACE: Directory for Terraform projects (default: ~/eks-clusters)
Advanced Usage
Custom Node Group Configuration
User: "Generate EKS cluster with mixed instance types: t3.large and t3.xlarge, 5-20 nodes"
User: "Set disk size to 50GB"
Multi-Region
User: "Create EKS cluster in ap-southeast-1"
User: "List clusters in eu-west-1"
Tags
User: "Generate EKS cluster with tags: Environment=Production, Team=Platform, CostCenter=Engineering"
Terraform State Management
⚠️ Important: For production, configure remote state:
terraform {
backend "s3" {
bucket = "my-terraform-state"
key = "eks/production/terraform.tfstate"
region = "us-east-1"
encrypt = true
dynamodb_table = "terraform-locks"
}
}
Next Steps After Cluster Creation
- Install core add-ons (metrics-server, AWS LB controller)
- Set up monitoring (Prometheus, Grafana)
- Configure logging (Fluent Bit → CloudWatch)
- Deploy sample application
- Set up CI/CD pipelines
- Implement GitOps (ArgoCD, Flux)
Resources
- EKS Best Practices: https://aws.github.io/aws-eks-best-practices/
- Terraform AWS EKS Module: https://registry.terraform.io/modules/terraform-aws-modules/eks/aws
- EKS Documentation: https://docs.aws.amazon.com/eks/
Production-Ready EKS Clusters | Terraform + VPC + IRSA + Add-ons
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