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Kubernetes MCP Server

@wasilak

リポジトリ

基本情報

カテゴリ

クラウドとインフラ

トランスポート

stdio

作者

wasilak

Kubernetes MCP Server について

An experimental Model Context Protocol (MCP) server that exposes Kubernetes resources to AI chat interfaces.

Kubernetes MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

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?

An experimental Model Context Protocol (MCP) server that exposes Kubernetes functionality to AI chat interfaces through kubectl, allowing AI assistants to analyze and manage cluster resources using familiar kubectl commands.

How to use Kubernetes MCP Server?

Install by cloning the repository and building with cargo build --release, then configure your AI assistant to use the server (instructions depend on your AI platform).

Key features of Kubernetes MCP Server

  • Single kubectl tool for executing any kubectl command
  • Built on the mcpr protocol
  • Uses your default kubeconfig and kubectl installation
  • Provides full access to Kubernetes cluster capabilities

Use cases of Kubernetes MCP Server

  • Resource Discovery: Ask your AI assistant to list and describe resources using kubectl
  • Troubleshooting: Have AI help analyze logs and resource states using kubectl
  • Resource Management: Get AI assistance in creating or modifying resources
  • Documentation: Ask AI to explain what a particular resource does in your cluster
  • Security Analysis: Identify potential security issues in your cluster configuration

よくある質問

1

What are the requirements for Kubernetes MCP Server?

Rust 1.70 or later, kubectl installed and configured, a Kubernetes cluster with appropriate permissions, and a configured kubeconfig.

2

How does Kubernetes MCP Server connect to my cluster?

It uses your default kubeconfig and kubectl installation.

3

What security considerations should I take?

Run with appropriate RBAC permissions, consider implementing command validation or whitelisting, monitor and audit command execution, and use it in a controlled environment.

4

Is Kubernetes MCP Server production-ready?

The README describes it as experimental and a demonstration of how to integrate Kubernetes with AI assistants.

5

Does the server support all kubectl commands?

Yes, it provides a single `kubectl` tool that can execute any kubectl command, giving AI assistants full access to your cluster's capabilities.

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