K8s MCP Server
Allows execution of argocd commands for managing ArgoCD applications and deployments.
Allows execution of helm commands for deploying and managing Helm charts on Kubernetes.
Allows execution of istioctl commands for managing Istio service mesh.
Allows execution of kubectl commands for managing and troubleshooting Kubernetes clusters.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@K8s MCP Serverlist pods in the default namespace"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
K8s MCP Server
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.
Demo: Deploy and Troubleshoot WordPress
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..
Related MCP server: K8s MCP Server
How It Works
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| AClaude can help users by:
Explaining complex Kubernetes concepts
Running commands against your cluster
Troubleshooting issues
Suggesting optimizations
Crafting Kubernetes manifests
Quick Start with Claude Desktop
Get Claude helping with your Kubernetes clusters in under 2 minutes:
Create or update your Claude Desktop configuration file:
macOS: Edit
$HOME/Library/Application Support/Claude/claude_desktop_config.jsonWindows: Edit
%APPDATA%\Claude\claude_desktop_config.jsonLinux: Edit
$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
After restart, you'll see the Tools icon (🔨) in the bottom right of your input field
This indicates Claude can now access K8s tools via the MCP server
Start using K8s tools directly in Claude Desktop:
"What Kubernetes contexts do I have available?"
"Show me all pods in the default namespace"
"Create a deployment with 3 replicas of nginx:1.21"
"Explain what's wrong with my StatefulSet 'database' in namespace 'prod'"
"Deploy the bitnami/wordpress chart with Helm and set service type to LoadBalancer"
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.
Features
Multiple Kubernetes Tools:
kubectl,helm,istioctl, andargocdin one containerCloud Providers: Native support for AWS EKS, Google GKE, and Azure AKS
Security: Runs as non-root user with strict command validation
Command Piping: Support for common Unix tools like
jq,grep, andsedEasy Configuration: Simple environment variables for customization
Transport Protocols
The server supports three transport protocols, configured via K8S_MCP_TRANSPORT:
Transport | Description | Default |
| Standard I/O (Claude Desktop default) | Yes |
| HTTP transport (recommended for remote/web clients, MCP spec 2025-11-25) | No |
| Server-Sent Events (deprecated, use | No |
Example using Streamable HTTP transport:
docker run --rm -p 8000:8000 \
-v ~/.kube:/home/appuser/.kube:ro \
-e K8S_MCP_TRANSPORT=streamable-http \
ghcr.io/alexei-led/k8s-mcp-server:latestNote: When running in Docker with HTTP transports, the server automatically binds to
0.0.0.0for proper port mapping. Outside Docker it binds to127.0.0.1.
Documentation
Getting Started Guide - Detailed setup instructions
Cloud Provider Support - EKS, GKE, and AKS configuration
Supported Tools - Complete list of all included CLI tools
Environment Variables - Configuration options
Security Features - Security modes and custom rules
Claude Integration - Detailed Claude Desktop setup
Architecture - System architecture and components
Detailed Specification - Complete technical specification
Usage Examples
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"]
endClaude 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.
Advanced Claude Desktop Configuration
Configure Claude Desktop to optimize your Kubernetes workflow:
Target Specific Clusters and Namespaces
{
"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"
]
}
}
}Connect to AWS EKS Clusters
{
"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"
]
}
}
}Connect to Google GKE Clusters
{
"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"
]
}
}
}Connect to Azure AKS Clusters
{
"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"
]
}
}
}Permissive Security Mode
{
"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.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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