Kubernetes MCP Server
An MCP server for generating Kubernetes manifests (deployments, services, configmaps, secrets, ingresses, namespaces) and performing kubectl operations like apply, delete, get, describe, logs, and exec.
README
Kubernetes MCP Server
An MCP server that provides tools for generating Kubernetes YAML manifests and deploying using kubectl.
Features
Manifest Generation
- generate_deployment: Create Deployment manifests with resource limits, env vars
- generate_service: Create Service manifests (ClusterIP, NodePort, LoadBalancer)
- generate_configmap: Create ConfigMap manifests
- generate_secret: Create Secret manifests (auto base64 encoding)
- generate_ingress: Create Ingress manifests with optional TLS
- generate_namespace: Create Namespace manifests
Kubectl Operations
- kubectl_apply: Apply manifests to cluster
- kubectl_delete: Delete resources from cluster
- kubectl_get: List resources
- kubectl_describe: Describe resources in detail
- kubectl_logs: Get pod logs
- kubectl_exec: Execute commands in pods
Prerequisites
- Python 3.10+
- kubectl installed and configured
- Access to a Kubernetes cluster (kubeconfig set up)
Installation
cd kubernetes-mcp-server
pip install -r requirements.txt
Kubernetes Access
Ensure kubectl is configured:
# Verify connection
kubectl cluster-info
# Check current context
kubectl config current-context
# List available contexts
kubectl config get-contexts
Configuration
Add to your Claude Code settings (~/.claude/settings.json):
{
"mcpServers": {
"kubernetes": {
"command": "python",
"args": ["/Users/youruser/Documents/Base/DevOps-ClaudeAi/test-cases/SM1/my-first-vpc/kubernetes-mcp-server/server.py"]
}
}
}
Usage Examples
Generate Manifests
User: "Generate a deployment for nginx with 3 replicas"
Claude: [calls generate_deployment with name=nginx, image=nginx:latest, replicas=3]
User: "Create a LoadBalancer service for the nginx deployment"
Claude: [calls generate_service with service_type=LoadBalancer, selector={app: nginx}]
User: "Generate a configmap with database connection settings"
Claude: [calls generate_configmap with data]
Deploy to Cluster
User: "Apply the nginx deployment to the cluster"
Claude: [calls kubectl_apply with manifest path]
User: "Get all pods in the default namespace"
Claude: [calls kubectl_get with resource_type=pods, namespace=default]
User: "Show me the logs from the nginx pod"
Claude: [calls kubectl_logs with pod_name]
Manifest Storage
Generated manifests are automatically saved to ~/k8s-manifests/ with timestamps:
deployment-nginx_20260417_143022.yamlservice-nginx_20260417_143045.yaml
This allows you to:
- Track generated configurations
- Version control your manifests
- Re-apply manifests later
- Review what was created
Security Notes
⚠️ IMPORTANT:
- This server can deploy resources to your Kubernetes cluster
- Always review generated manifests before applying
- Use RBAC to limit kubectl permissions
- Be cautious with kubectl_exec (can run arbitrary commands in pods)
- Secrets are base64 encoded (not encrypted) - use proper secret management solutions
Recommended RBAC Policy
Create a ServiceAccount with limited permissions:
apiVersion: v1
kind: ServiceAccount
metadata:
name: mcp-deployer
namespace: default
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: mcp-deployer-role
namespace: default
rules:
- apiGroups: ["", "apps", "networking.k8s.io"]
resources: ["deployments", "services", "configmaps", "secrets", "ingresses"]
verbs: ["get", "list", "create", "update", "patch"]
- apiGroups: [""]
resources: ["pods", "pods/log"]
verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: mcp-deployer-binding
namespace: default
subjects:
- kind: ServiceAccount
name: mcp-deployer
roleRef:
kind: Role
name: mcp-deployer-role
apiGroup: rbac.authorization.k8s.io
Working with Multiple Clusters
Use the context parameter to target different clusters:
User: "Deploy to production cluster"
Claude: [calls kubectl_apply with context=prod-cluster]
User: "List pods in staging"
Claude: [calls kubectl_get with context=staging-cluster]
Error Handling
The server provides detailed kubectl error messages:
- Resource already exists
- Permission denied (RBAC)
- Invalid manifest syntax
- Connection errors
- Resource not found
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