K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments
K8s MCP Server is a Docker-based server implementing Anthropic’s Model Context Protocol (MCP) that enables Claude to run Kubernetes CLI tools (kubectl
, istioctl
, helm
, argocd
) in a secure, containerized environment.
Session 1: Using k8s-mcp-server and Helm CLI to deploy a WordPress application in the claude-demo namespace, then intentionally breaking it by scaling the MariaDB StatefulSet to zero.
Session 2: Troubleshooting session where we use k8s-mcp-server to diagnose the broken WordPress site through kubectl commands, identify the missing database issue, and fix it by scaling up the StatefulSet and configuring ingress access…
flowchart LR
A[User] --> |Asks K8s question| B[Claude]
B --> |Sends command via MCP| C[K8s MCP Server]
C --> |Executes kubectl, helm, etc.| D[Kubernetes Cluster]
D --> |Returns results| C
C --> |Returns formatted results| B
B --> |Analyzes & explains| A
Claude can help users by:
Get Claude helping with your Kubernetes clusters in under 2 minutes:
Create or update your Claude Desktop configuration file:
$HOME/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
$HOME/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
Restart Claude Desktop
Start using K8s tools directly in Claude Desktop:
Note: Claude Desktop will automatically route K8s commands through the MCP server, allowing natural conversation about your clusters without leaving the Claude interface.
Cloud Providers: For AWS EKS, GKE, or Azure AKS, you’ll need additional configuration. See the Cloud Provider Support guide.
kubectl
, helm
, istioctl
, and argocd
in one containerjq
, grep
, and sed
Once connected, you can ask Claude to help with Kubernetes tasks using natural language:
flowchart TB
subgraph "Basic Commands"
A1["Show me all pods in the default namespace"]
A2["Get all services across all namespaces"]
A3["Display the logs for the nginx pod"]
end
subgraph "Troubleshooting"
B1["Why is my deployment not starting?"]
B2["Describe the failing pod and explain the error"]
B3["Check if my service is properly connected to the pods"]
end
subgraph "Deployments & Configuration"
C1["Deploy the Nginx Helm chart"]
C2["Create a deployment with 3 replicas of nginx:latest"]
C3["Set up an ingress for my service"]
end
subgraph "Advanced Operations"
D1["Check the status of my Istio service mesh"]
D2["Set up a canary deployment with 20% traffic to v2"]
D3["Create an ArgoCD application for my repo"]
end
Claude can understand your intent and run the appropriate kubectl, helm, istioctl, or argocd commands based on your request. It can then explain the output in simple terms or help you troubleshoot issues.
Configure Claude Desktop to optimize your Kubernetes workflow:
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"-e", "K8S_CONTEXT=production-cluster",
"-e", "K8S_NAMESPACE=my-application",
"-e", "K8S_MCP_TIMEOUT=600",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"-v", "/Users/YOUR_USER_NAME/.aws:/home/appuser/.aws:ro",
"-e", "AWS_PROFILE=production",
"-e", "AWS_REGION=us-west-2",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"-v", "/Users/YOUR_USER_NAME/.config/gcloud:/home/appuser/.config/gcloud:ro",
"-e", "CLOUDSDK_CORE_PROJECT=my-gcp-project",
"-e", "CLOUDSDK_COMPUTE_REGION=us-central1",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"-v", "/Users/YOUR_USER_NAME/.azure:/home/appuser/.azure:ro",
"-e", "AZURE_SUBSCRIPTION=my-subscription-id",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
{
"mcpServers": {
"kubernetes": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/Users/YOUR_USER_NAME/.kube:/home/appuser/.kube:ro",
"-e", "K8S_MCP_SECURITY_MODE=permissive",
"ghcr.io/alexei-led/k8s-mcp-server:latest"
]
}
}
}
For detailed security configuration options, see Security Documentation.
This project is licensed under the MIT License - see the LICENSE file for details.