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Kubeview MCP Server

@mikhae1

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その他

トランスポート

stdio

作者

mikhae1

投稿者

Minko Lazer

Kubeview MCP Server について

KubeView MCP is a read-only Model Context Protocol (MCP) server that exposes rich, AI-ready operations for Kubernetes clusters.

Kubeview MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "kubeview-mcp": {
      "command": "npx",
      "args": [
        "https://github.com/mikhae1/kubeview-mcp"
      ],
      "env": {
        "KUBECONFIG": "$HOME/.kube/config"
      }
    }
  }
}

Kubeview MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is KubeView MCP?

KubeView MCP is a read-only Model Context Protocol server that gives AI assistants rich, AI-ready operations for Kubernetes clusters. It is aimed at developers and platform engineers who want AI-driven inspection of cluster resources, Helm releases, Argo workflows, and monitoring data.

How to use KubeView MCP?

— (No installation or configuration instructions are present in the provided README.)

Key features of KubeView MCP

  • Read-only access to Pods, Services, Deployments, and more.
  • Deep inspection of Helm releases, manifests, values, and history.
  • Seamless integration with Argo Workflows and ArgoCD applications.
  • Out-of-the-box CPU and memory metrics from Kubernetes.
  • Optional enrichment with Prometheus monitoring data.

Use cases of KubeView MCP

  • AI-powered troubleshooting of running Kubernetes clusters.
  • Querying Helm release details and history via natural language.
  • Inspecting ArgoCD application state and Argo Workflow status.
  • Retrieving resource configurations without direct kubectl access.

よくある質問

1

What kinds of Kubernetes resources does KubeView MCP support?

It provides read-only access to Pods, Services, Deployments, Namespaces, ConfigMaps, Secrets, PVCs, and more.

2

Does KubeView MCP support Helm?

Yes, it supports deep inspection of Helm releases including their manifests, values, hooks, and history.

3

Can KubeView MCP interact with ArgoCD and Argo Workflows?

Yes, it seamlessly integrates with both Argo Workflows and ArgoCD applications.

4

Is KubeView MCP a read-only tool?

Yes, it is explicitly described as a read-only MCP server, meaning it will not modify any cluster state.

5

Does KubeView MCP include monitoring capabilities?

Yes, it provides CPU and memory metrics out-of-the-box and can be optionally enriched with Prometheus data.

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