GitHub
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作者提供的说明(英文原文)
A Model Context Protocol (MCP) server for Kubernetes and OpenShift
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。
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。
选择你使用的 AI 应用,然后复制设置。
你需要
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。
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。
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
注册名称已通过 GitHub 账户 containers 验证,该账户拥有此仓库
代码最后更新于前天
使用 Apache-2.0
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
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。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 💬 Community | 🧑💻 Development
https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e
A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.
.kube/config or in-cluster configuration./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.
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.
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"] } } }
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"]}'
code-insiders --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'
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 is the easiest (and cheapest) way to get rolling with artificial intelligence (AI) agents.
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:
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
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.
In this demo, I'll show you how to set up Kubernetes MCP server in VS code just by clicking a link.
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
| Option | Description |
|---|---|
--version | Print version information and quit. |
--config | Path 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-dir | Directory 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.
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"]
[[denied_resources]] group = "" version = "v1" kind = "Secret"
[telemetry] endpoint = "http://localhost:4317"
For comprehensive TOML configuration documentation, including:
See the [Configuration Reference](docs/configuration.md).
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