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Kubernetes MCP Server

@briankscheong

リポジトリ

基本情報

カテゴリ

クラウドとインフラ

ライセンス

MIT

トランスポート

stdio

作者

briankscheong

Kubernetes MCP Server について

MCP Server that talks to the Kubernetes APIs

#go#kubernetes#mcp#ai-agents#mcp-servers#mcp-server

Kubernetes 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": {
    "kubernetes": {
      "command": "path/to/k8smcp",
      "args": [
        "stdio",
        "--kubeconfig=/path/to/your/kubeconfig"
      ]
    }
  }
}

Kubernetes 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Kubernetes MCP Server?

The Kubernetes MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Kubernetes APIs, enabling advanced automation and interaction capabilities for developers, operators, and AI tools. It allows AI tools to interact with Kubernetes clusters using natural language, including retrieving cluster resources, monitoring deployments, pods, and services, executing common kubectl operations, and troubleshooting cluster issues.

How to use Kubernetes MCP Server?

Configure the server for use with Claude Desktop, VS Code, or Cline by adding it to the respective MCP server configuration. Run the binary with k8smcp stdio (default) or k8smcp sse for HTTP transport. Use flags like --kubeconfig, --namespace, --read-only, --resource-types, and --toolsets, or set equivalent environment variables (e.g., K8S_MCP_KUBECONFIG). Build from source or install via go install.

Key features of Kubernetes MCP Server

  • Retrieve and analyze cluster resources
  • Monitor deployments, pods, and services
  • Execute common kubectl operations through AI interfaces
  • Troubleshoot cluster issues with AI assistance
  • Supports both stdio and SSE transports
  • Read-only mode available by default for safety

Use cases of Kubernetes MCP Server

  • AI assistant queries pod status and logs for debugging.
  • Automatically scaling a deployment via natural language.
  • Listing all services in a namespace for inventory.
  • Retrieving ConfigMaps to verify application configuration.
  • Troubleshooting cluster health by checking nodes and namespaces.

よくある質問

1

Which transport options does Kubernetes MCP Server support?

It supports `stdio` (default, for local integration) and `sse` (HTTP-based JSON-RPC, for deploying inside a Kubernetes cluster).

2

How do I enable write operations (delete pod, scale deployment)?

By default, tools that modify resources are disabled. Set the `--read-only=false` flag or the `K8S_MCP_READ_ONLY=false` environment variable to enable them.

3

What prerequisites are needed to use Kubernetes MCP Server?

You need a Kubernetes cluster with API access, a valid kubeconfig file or service account credentials, and appropriate RBAC permissions for the desired operations.

4

Can I run the server inside a Kubernetes cluster?

Yes. Use the SSE transport with the `--in-cluster=true` flag to use the in-cluster configuration.

5

How can I restrict access to the server?

You can create a dedicated service account with restricted RBAC permissions, set namespace limits, or enable read-only mode to prevent mutations to cluster state.

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