GitHub
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Description from the maker (original English)
Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
KUBECONFIG_PATH, K8S_MODEYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"@dockndevai/mcp-kubernetes"
],
"env": {
"KUBECONFIG_PATH": "your-value",
"K8S_MODE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add kubernetes --env KUBECONFIG_PATH=your-value --env K8S_MODE=your-value -- npx -y @dockndevai/mcp-kubernetesFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"@dockndevai/mcp-kubernetes"
],
"env": {
"KUBECONFIG_PATH": "your-value",
"K8S_MODE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"kubernetes": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@dockndevai/mcp-kubernetes"
],
"env": {
"KUBECONFIG_PATH": "your-value",
"K8S_MODE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
KUBECONFIG_PATH envK8S_MODE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account dockndevai, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.3) reached the registry 12 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A Model Context Protocol server for Kubernetes. It lets an MCP-capable client (Claude Desktop, Claude Code, etc.) inspect and operate Kubernetes clusters across multiple contexts — with behaviour controlled entirely by flags.
The design goal is safe by default: it starts read-only, can be scoped to an allowlist of namespaces and contexts, protects system namespaces from mutation, and gates the dangerous operations (delete, apply, exec) behind explicit opt-ins.
context; scope which contexts are usable with an allowlist.read-only → read-write → admin, layered so a mode never exposes tools above its level.| Concern | Flag | Default | Effect |
|---|---|---|---|
| What can the server do at all? | K8S_MODE | read-only | read-only exposes only reads; read-write adds mutations; admin adds destructive tools. Tools above the mode are never registered. |
| Which namespaces are in scope? | K8S_NAMESPACE_ALLOWLIST | *(all)* | When set, any operation on a namespace outside the list is refused. |
| Which namespaces are read-only forever? | K8S_PROTECTED_NAMESPACES | kube-system,kube-public,kube-node-lease | Can be read but never mutated or deleted, regardless of mode. |
| Which clusters are reachable? | K8S_CONTEXT_ALLOWLIST | *(all)* | When set, only these kube-config contexts may be targeted. |
| Can it delete? | K8S_ALLOW_DELETE | false | delete_resource needs this and admin mode. |
| Can it apply manifests? | K8S_ALLOW_APPLY | false | apply_manifest needs this and read-write mode. |
| Can it exec into pods? | K8S_ALLOW_EXEC | false | exec_in_pod needs this and admin mode; the tool isn't even registered otherwise. |
| Preview without touching the cluster | K8S_DRY_RUN | false | Write/admin tools validate + log intent, then return without calling the API. |
| Audit trail | K8S_AUDIT_LOG | true | Emits a JSON line to stderr per guarded operation (ALLOW / DENY / DRY_RUN). |
| Interactive confirmation | *(automatic)* | — | Destructive & high-impact actions prompt the human to approve via MCP elicitation before running; clients without elicitation fall back to the *_ALLOW_* gate. |
The layers are independent — e.g. admin mode with all three opt-ins false can restart and scale deployments but can neither delete resources nor exec into pods.
Read (read-only+): list_contexts, list_namespaces, list_pods, get_pod, get_pod_logs, list_deployments, list_services, list_nodes, list_events, get_resource
Write (read-write+): scale_deployment, restart_deployment, set_deployment_image, create_namespace, apply_manifest (needs K8S_ALLOW_APPLY)
Admin (admin): delete_resource (needs K8S_ALLOW_DELETE), exec_in_pod (needs K8S_ALLOW_EXEC)
Optional AI risk guard. Set K8S_GUARD_MODE=monitor|enforce to have delete_resource, exec_in_pod and apply_manifest consult a local laya-guard daemon (pipx install laya-guard && laya-guard) that classifies the operation allow/confirm/block before it runs. Runs *after* the delete/exec/apply gates; only tightens, never grants; fails closed.
Published on npm as @dockndevai/mcp-kubernetes. No clone or build needed — your MCP client runs it on demand with npx. Start in `read-only` mode; see .env.example for every variable and docs/CLIENTS.md for the full per-client guide.
Claude Code (CLI)
claude mcp add kubernetes -e KUBECONFIG_PATH="/Users/you/.kube/config" -e K8S_MODE="read-only" -- npx -y @dockndevai/mcp-kubernetes
Claude Desktop · Cursor · Windsurf — same block in claude_desktop_config.json, .cursor/mcp.json, or ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": { "kubernetes": { "command": "npx", "args": [ "-y", "@dockndevai/mcp-kubernetes" ], "env": { "KUBECONFIG_PATH": "/Users/you/.kube/config", "K8S_MODE": "read-only" } } } }
OpenAI Codex CLI — in ~/.codex/config.toml:
[mcp_servers.kubernetes]
command = "npx" args = ["-y", "@dockndevai/mcp-kubernetes"] env = { KUBECONFIG_PATH = "/Users/you/.kube/config", K8S_MODE = "read-only" }
VS Code (GitHub Copilot, Agent mode) — in .vscode/mcp.json:
{
"servers": { "kubernetes": { "type": "stdio", "command": "npx", "args": [ "-y", "@dockndevai/mcp-kubernetes" ], "env": { "KUBECONFIG_PATH": "/Users/you/.kube/config", "K8S_MODE": "read-only" } } } }
Prefer the published package above. To run from a clone:
npm install
npm run build node dist/index.js # with the environment variables set
npm run dev # watch mode
npm test # unit tests for the security policy npm run typecheck
This server ships a server.json for the official MCP registry and an mcpName for npm ownership validation. See [PUBLISHING.md](PUBLISHING.md) for publishing to npm and listing on the MCP registry, Smithery, Glama, Cursor, and PulseMCP.
MIT