malepuppet/mcp-k8s-eye

MCP-K8s-EYE

MCP-K8S-EYE 是一款可以管理 Kubernetes 集群并分析工作负载状态的工具。

特色

核心Kubernetes运算

• [x] 连接到Kubernetes集群
• [x] 通用 Kubernetes 资源 管理能力
• 支持所有导航资源：舱、部署、服务、状态集、入口…
• 支持 CustomResourceDefinition 资源
• 操作包括：列表、获取、创建、更新、删除
• [x] Pod 管理能力（exec，日志）
• [x] 部署管理能力（规模）
• [ ] 描述 Kubernetes 资源
• [ ] 解释 Kubernetes 资源

诊断

• [x] 舱体诊断（分析舱体状态、容器状态、舱体资源利用率）
• [x] 服务诊断（分析服务选择器配置，而非端点、事件）
• [x] 部署诊断（分析可用副本）
• [x] StatefulSet 诊断（分析状态完整集服务（如存在，分析 pvc，或可用副本）
• [x] CronJob 诊断（分析 CronJob 的排班时间、起始截止日期、最后排程时间）
• [x] 入口诊断（分析入口类配置、相关服务、TLS秘密）

mcp-k8s-eye

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

Features

Core Kubernetes Operations

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

Diagnostics

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

Monitoring

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

Advanced Features

• [x] Multiple transport protocols support (Stdio, SSE)
• [x] 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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