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mcp-k8s-eye

by wenhuwang

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。需要配置好的 kubectl 和 Go 1.23 或更高版本以构建二进制文件。

Developer toolsstdioCommunity

Repository-wide counts · Cached 2026-03-07

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Overview

The mcp-k8s-eye MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the mcp-k8s-eye repository to read the latest documentation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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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

Tools Usage

Resource Operation Tools

  • resource_get: Get detailed resource information about a specific resource in a namespace
  • resource_list: List detailed resource information about all resources in a namespace
  • resource_create_or_update: Create or update a resource in a namespace
  • resource_delete: Delete a resource in a namespace
  • resource_describe: Describe a resource detailed information in a namespace
  • deployment_scale: Scale a deployment in a namespace
  • pod_exec: Execute a command in a pod in a namespace`
  • pod_logs: Get logs from a pod in a namespace

Diagnostics Tools

  • pod_analyze: Diagnose all pods in a namespace
  • deployment_analyze: Diagnose all deployments in a namespace
  • statefulset_analyze: Diagnose all statefulsets in a namespace
  • service_analyze: Diagnose all services in a namespace
  • cronjob_analyze: Diagnose all cronjobs in a namespace
  • ingress_analyze: Diagnose all ingresses in a namespace
  • networkpolicy_analyze: Diagnose all networkpolicies in a namespace
  • validatingwebhook_analyze: Diagnose all validatingwebhooks
  • mutatingwebhook_analyze: Diagnose all mutatingwebhooks
  • node_analyze: Diagnose all nodes in cluster

Monitoring Tools

  • workload_resource_usage: Get pod/deployment/replicaset/statefulset resource usage in a namepace (cpu, memory)

Requirements

  • Go 1.23 or higher
  • kubectl configured

Installation

# clone the repository
git clone https://github.com/wenhuwang/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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