mcp-k8s-eye

mcp-k8s-eye

mcp-k8s-eye is a tool that can manage kubernetes cluster and analyze workload status.

Features

Core Kubernetes Operations

• Connect to a Kubernetes cluster
• Generic Kubernetes Resources management capabilities
  • Support all navtie resources: Pod, Deployment, Service, StatefulSet, Ingress...
  • Support CustomResourceDefinition resources
  • Operations include: list, get, create, update, delete
• Pod management capabilities (exec, logs)
• Deployment management capabilities (scale)
• Describe Kubernetes resources
• Explain Kubernetes resources

Diagnostics

• Pod diagnostics (analyze pod status, container status, pod resource utilization)
• Service diagnostics (analyze service selector configuration, not ready endpoints, events)
• Deployment diagnostics (analyze available replicas)
• StatefulSet diagnostics (analyze statefulset service if exists, pvc if exists, available replicas)
• CronJob diagnostics (analyze cronjob schedule, starting deadline, last schedule time)
• Ingress diagnostics (analyze ingress class configuration, related services, tls secrets)
• NetworkPolicy diagnostics (analyze networkpolicy configuration, affected pods)
• ValidatingWebhook diagnostics (analyze webhook configuration, referenced services and pods)
• MutatingWebhook diagnostics (analyze webhook configuration, referenced services and pods)
• Node diagnostics (analyze node conditions)
• Cluster diagnostics and troubleshooting

Monitoring

• Pod, Deployment, ReplicaSet, StatefulSet, DaemonSet workload resource usage (cpu, memory)
• Node capacity, utilization (cpu, memory)
• Cluster capacity, utilization (cpu, memory)

Advanced Features

• Multiple transport protocols support (Stdio, SSE)
• Support multiple AI Clients

Requirements

• Go 1.23 or higher
• kubectl configured

Installation

# clone the repository
git clone https://github.com/malepuppet/mcp-k8s-eye.git
cd mcp-k8s-eye

# build the binary
go build -o mcp-k8s-eye

Usage

Stdio mode

{
  "mcpServers": {
    "k8s eye": {
      "command": "YOUR mcp-k8s-eye PATH",
      "env": {
        "HOME": "USER HOME DIR"
      },
    }
  }
}

env.HOME is used to set the HOME directory for kubeconfig file.

SSE mode

1. start your mcp sse server
2. config your mcp server

{
  "mcpServers": {
    "k8s eye": {
      "url": "http://localhost:8080/sse",
      "env": {}
    }
  }
}

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