原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Kubernetes MCP Server

作者:containers版本 0.1.0i★ 2,224i在你的电脑上运行
注册名称io.github.containers/kubernetes-mcp-server

安装

概览

作者提供的说明(英文原文)

A Model Context Protocol (MCP) server for Kubernetes and OpenShift

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:3 项中通过 3 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": [
        "-y",
        "kubernetes-mcp-server"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add kubernetes -- npx -y kubernetes-mcp-server

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": [
        "-y",
        "kubernetes-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "kubernetes": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "kubernetes-mcp-server"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 containers 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于前天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1393 个服务器的 100%
  • 发布到注册中心的时间比此分类中其他 1393 个服务器的 83% 更新
  • 基础检查结果等于或优于此分类中其他 1393 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Kubernetes MCP Server 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于前天,最新版本(0.1.0)于8天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Python (uv), Docker。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT3天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT15天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Kubernetes MCP Server

✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 💬 Community | 🧑💻 Development

https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e

✨ Features

A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.

  • ✅ Configuration:
  • Automatically detect changes in the Kubernetes configuration and update the MCP server.
  • View and manage the current Kubernetes .kube/config or in-cluster configuration.
  • ✅ Generic Kubernetes Resources: Perform operations on any Kubernetes or OpenShift resource.
  • Any CRUD operation (Create or Update, Get, List, Delete).
  • ✅ Pods: Perform Pod-specific operations.
  • List pods in all namespaces or in a specific namespace.
  • Get a pod by name from the specified namespace.
  • Delete a pod by name from the specified namespace.
  • Show logs for a pod by name from the specified namespace.
  • Top gets resource usage metrics for all pods or a specific pod in the specified namespace.
  • Exec into a pod and run a command.
  • Run a container image in a pod and optionally expose it.
  • ✅ Namespaces: List Kubernetes Namespaces.
  • ✅ Events: View Kubernetes events in all namespaces or in a specific namespace.
  • ✅ Projects: List OpenShift Projects.
  • ☸️ Helm:
  • Install a Helm chart in the current or provided namespace.
  • List Helm releases in all namespaces or in a specific namespace.
  • Uninstall a Helm release in the current or provided namespace.
  • 🔧 Tekton: Tekton-specific operations that complement generic Kubernetes resource management.
  • Pipeline: Start a Tekton Pipeline by creating a PipelineRun.
  • PipelineRun: Restart, cancel, troubleshoot, and retrieve PipelineRun logs.
  • Task: Start a Tekton Task by creating a TaskRun.
  • TaskRun: Restart a TaskRun with the same spec, and retrieve TaskRun logs via pod resolution.
  • 🔭 Observability: Optional OpenTelemetry distributed tracing and metrics with custom sampling rates. Includes /stats endpoint for real-time statistics. See OTEL.md.

Unlike other Kubernetes MCP server implementations, this IS NOT just a wrapper around kubectl or helm command-line tools. It is a Go-based native implementation that interacts directly with the Kubernetes API server.

There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.

  • ✅ Lightweight: The server is distributed as a single native binary for Linux, macOS, and Windows.
  • ✅ High-Performance / Low-Latency: Directly interacts with the Kubernetes API server without the overhead of calling and waiting for external commands.
  • ✅ Multi-Cluster: Can interact with multiple Kubernetes clusters simultaneously (as defined in your kubeconfig files).
  • ✅ Cross-Platform: Available as a native binary for Linux, macOS, and Windows, as well as an npm package, a Python package, and container/Docker image.
  • ✅ Configurable: Supports command-line arguments, TOML configuration files, and environment variables.
  • ✅ Well tested: The server has an extensive test suite to ensure its reliability and correctness across different Kubernetes environments.
  • 📚 Documentation: Comprehensive user documentation including setup guides, configuration reference, and observability.

🚀 Getting Started

Requirements
  • Access to a Kubernetes cluster.

Claude Code

Follow the dedicated Claude Code getting started guide in our user documentation.

For a secure production setup with dedicated ServiceAccount and read-only access, also review the Kubernetes setup guide.

Claude Desktop
Using npx

If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server on Claude Desktop.

Open your claude_desktop_config.json and add the mcp server to the list of mcpServers:

{

"mcpServers": { "kubernetes": { "command": "npx", "args": ["-y", "kubernetes-mcp-server@latest"] } } }

VS Code / VS Code Insiders

Install the Kubernetes MCP server extension in VS Code Insiders by pressing the following link:

Alternatively, you can install the extension manually by running the following command:

# For VS Code

code --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'

For VS Code Insiders

code-insiders --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'

Cursor

Install the Kubernetes MCP server extension in Cursor by pressing the following link:

Alternatively, you can install the extension manually by editing the mcp.json file:

{

"mcpServers": { "kubernetes-mcp-server": { "command": "npx", "args": ["-y", "kubernetes-mcp-server@latest"] } } }

Goose CLI

Goose CLI is the easiest (and cheapest) way to get rolling with artificial intelligence (AI) agents.

Using npm

If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server.

Open your goose config.yaml and add the mcp server to the list of mcpServers:

extensions:

kubernetes: command: npx args:

  • -y
  • kubernetes-mcp-server@latest

🎥 Demos

Diagnosing and automatically fixing an OpenShift Deployment

Demo showcasing how Kubernetes MCP server is leveraged by Claude Desktop to automatically diagnose and fix a deployment in OpenShift without any user assistance.

https://github.com/user-attachments/assets/a576176d-a142-4c19-b9aa-a83dc4b8d941

_Vibe Coding_ a simple game and deploying it to OpenShift

In this demo, I walk you through the process of _Vibe Coding_ a simple game using VS Code and how to leverage Podman MCP server and Kubernetes MCP server to deploy it to OpenShift.

Supercharge GitHub Copilot with Kubernetes MCP Server in VS Code - One-Click Setup!

In this demo, I'll show you how to set up Kubernetes MCP server in VS code just by clicking a link.

⚙️ Configuration

The Kubernetes MCP server can be configured using command line (CLI) arguments.

You can run the CLI executable either by using npx, uvx, or by downloading the latest release binary.

# Run the Kubernetes MCP server using npx (in case you have npm and node installed)

npx kubernetes-mcp-server@latest --help

# Run the Kubernetes MCP server using uvx (in case you have uv and python installed)

uvx kubernetes-mcp-server@latest --help

# Run the Kubernetes MCP server using the latest release binary

./kubernetes-mcp-server --help

Configuration Options
OptionDescription
--versionPrint version information and quit.
--configPath to the main TOML configuration file, or - to read it from stdin (HTTP mode only). See Configuration Reference for all options (port, toolsets, read_only, kubeconfig, …).
--config-dirDirectory of lexical .toml files. Usable alone or with --config. Omitted means no drop-ins. Relative paths are resolved against the working directory.

Note: Runtime settings are TOML (or existing env names), not CLI flags. See Configuration Changes for the flag-to-TOML mapping.

TOML Configuration Files

For complex or persistent configurations, use TOML configuration files instead of CLI arguments:

kubernetes-mcp-server --config /etc/kubernetes-mcp-server/config.toml

Example configuration:

log_level = 2

read_only = true toolsets = ["core", "config", "helm", "kubevirt"]

Deny access to sensitive resources

[[denied_resources]] group = "" version = "v1" kind = "Secret"

[telemetry] endpoint = "http://localhost:4317"

For comprehensive TOML configuration documentation, including:

  • All configuration options and their defaults
  • Drop-in configuration files for modular settings
  • Dynamic configuration reload via SIGHUP
  • Denied resources for restricting access to sensitive resource types
  • Server instructions for MCP Tool Search
  • Custom MCP prompts
  • OAuth/OIDC authentication for HTTP mode (Keycloak, Microsoft Entra ID)

See the [Configuration Reference](docs/configuration.md).

📊 MCP Logging

The server supports the MCP logging capability, allowing clients to receive debugging information via structured log messages. Kubernetes API errors are automatically categorized and logged to clients with appropriate severity levels. MCP log notifications apply best-effort redaction for known credential patterns before being sent to clients. This does not sanitize tool results or guarantee removal of a

只显示了开头部分;其余内容请在仓库中阅读

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