GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Read-only Kubernetes MCP server: inspect resources, logs, events, and metrics. Secrets are masked.
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。
KUBECONFIG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": {
"k8s-ro": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KUBECONFIG",
"ghcr.io/your-ko/mcp-k8s-ro:1.2.2"
],
"env": {
"KUBECONFIG": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add k8s-ro --env KUBECONFIG=your-value -- docker run -i --rm -e KUBECONFIG ghcr.io/your-ko/mcp-k8s-ro:1.2.2运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"k8s-ro": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KUBECONFIG",
"ghcr.io/your-ko/mcp-k8s-ro:1.2.2"
],
"env": {
"KUBECONFIG": "your-value"
}
}
}
}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": {
"k8s-ro": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"KUBECONFIG",
"ghcr.io/your-ko/mcp-k8s-ro:1.2.2"
],
"env": {
"KUBECONFIG": "your-value"
}
}
}
}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。
KUBECONFIG env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9日
注册名称已通过 GitHub 账户 your-ko 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
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 1 项适用的基础检查中通过了 1 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–,最新版本(1.2.2)于10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 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:↓ 每周下载量i★ 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
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。
A read-only MCP server that gives Claude access to Kubernetes clusters. Built in Go, it communicates over stdio using the MCP protocol.
get, describe, logs, and top style operations. No create, update, or delete. If a mutating operation is needed, the server prints the equivalent kubectl command for you to run manually. Safe to use while on-call at night: Claude can never accidentally mutate your cluster, even under prompt fatigue.| Object/Field | Reason |
|---|---|
| Secret.data | Secret leak prevention |
| Secret.stringData | Secret leak prevention |
| CertificateSigningRequest.spec.request | Large base64 PEM blob, no diagnostic value, saves tokens |
| Certificate (cert-manager) .spec.keystores | Cert chain PEM blobs, no diagnostic value, saves tokens |
| Certificate (cert-manager) status.conditions[].message | Cert chain PEM blobs, no diagnostic value, saves tokens |
| *.managedFields | No diagnostic value, saves tokens |
| Tool | Description |
|---|---|
k8s_list_resources | List any resource type by name — pods, deployments, CRDs, etc. Accepts optional namespace filter. Returns name, status, readiness, restarts, node, IP, and more depending on resource kind. |
k8s_describe_resource | Return the full YAML of a single resource. Secret data is masked. |
k8s_list_resource_types | List all available resource types via the discovery API. Accepts optional API group filter. |
k8s_get_logs | Fetch pod logs. Supports container selector, tail lines, and --previous for crashed containers. |
k8s_get_events | List Kubernetes events for a namespace or the whole cluster, sorted by most recent. |
k8s_top_pods | CPU and memory usage per pod, with per-container breakdown. Requires metrics-server. |
k8s_top_nodes | CPU and memory usage per node, with percentage of allocatable capacity. Requires metrics-server. |
| Environment variable | Default | Description |
|---|---|---|
KUBECONFIG | ~/.kube/config | Path to kubeconfig file |
claude mcp add --scope user --transport stdio k8s-ro \
-- docker run --rm -i -v ~/.kube:/home/nonroot/.kube:ro ghcr.io/your-ko/mcp-k8s-ro:latest
Pinning a specific version (check the latest release ) is recommended for production use:
claude mcp add --scope user --transport stdio k8s-ro \
-- docker run --rm -i -v ~/.kube:/home/nonroot/.kube:ro ghcr.io/your-ko/mcp-k8s-ro:1.1.0
Download a pre-built binary from GitHub Releases:
# macOS Apple Silicon — change ARCH for other platforms: darwin-amd64, linux-amd64, linux-arm64
ARCH=darwin-arm64 VERSION=$(curl -fsSL https://api.github.com/repos/your-ko/mcp-k8s-ro/releases/latest | grep tag_name | cut -d'"' -f4) curl -fsSL "https://github.com/your-ko/mcp-k8s-ro/releases/download/${VERSION}/mcp-k8s-ro-${VERSION}-${ARCH}" -o ~/.local/bin/mcp-k8s-ro chmod +x ~/.local/bin/mcp-k8s-ro xattr -d com.apple.quarantine ~/.local/bin/mcp-k8s-ro 2>/dev/null # macOS only: remove Gatekeeper quarantine claude mcp add --scope user --transport stdio k8s-ro ~/.local/bin/mcp-k8s-ro
macOS Gatekeeper: The binary is not code-signed, so macOS will block it.
The
xattrcommand above removes the quarantine flag. Alternatively, go to System Settings → Privacy & Security and click "Allow Anyway" after the first blocked attempt.
Or build from source:
make build
claude mcp add --scope user --transport stdio k8s-ro ./bin/mcp-k8s-ro
If your kubeconfig is not at ~/.kube/config, set the KUBECONFIG environment variable:
# Binary
claude mcp add --scope user --transport stdio -e KUBECONFIG=/path/to/kubeconfig k8s-ro ~/.local/bin/mcp-k8s-ro
claude mcp add --scope user --transport stdio k8s-ro \ -- docker run --rm -i -e KUBECONFIG=/config/kubeconfig -v /path/to/kubeconfig:/config/kubeconfig:ro ghcr.io/your-ko/mcp-k8s-ro:latest
The server intentionally operates on one kubeconfig context and provides no tool to switch clusters at runtime. The reasons are:
To point the server at a different cluster, stop the server, switch context, and restart:
kubectl config use-context my-other-cluster
To work with multiple clusters simultaneously, register a separate server instance per cluster in your MCP config:
{
"mcpServers": { "k8s-staging": { "type": "stdio", "command": "/path/to/bin/mcp-k8s-ro", "env": { "KUBECONFIG": "/path/to/.kube/config" } }, "k8s-prod": { "type": "stdio", "command": "/path/to/bin/mcp-k8s-ro", "env": { "KUBECONFIG": "/path/to/.kube/config-prod" } } } }
Claude will address each server by name and each instance only ever sees its own cluster.
This server is published on registry.modelcontextprotocol.io