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PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Kubernetes

by dockndevaiversion 0.3.3i★ –iRuns on your computer
Registry nameio.github.dockndevai/mcp-kubernetes

Install

Overview

Description from the maker (original English)

Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: KUBECONFIG_PATH, K8S_MODE

You need

  • npmNode.js installed (for the npx command)

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-kubernetes

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • KUBECONFIG_PATH env
    Path to a kube-config file (empty = default resolution).
  • K8S_MODE env
    Access mode: read-only | read-write | admin.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account dockndevai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

  • More stars than 0% of the other 4900 servers in this category
  • Published to the registry more recently than 74% of the other 4900 servers in this category
  • Basic checks equal to or better than 100% of the other 4900 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is MCP Kubernetes safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.3) reached the registry 12 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Desktop Commander

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Cloudflare MCP

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README from the maker

Open the README

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.

mcp-kubernetes

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.

Features

  • Multi-cluster — every tool accepts an optional context; scope which contexts are usable with an allowlist.
  • Access modes — read-only → read-write → admin, layered so a mode never exposes tools above its level.
  • Security flags — namespace allowlist, protected namespaces, context allowlist, plus independent opt-ins for delete / apply / exec, dry-run, and JSON audit logging (see below).
  • Standard auth — uses your kube-config (or in-cluster service account). No credentials are stored by the server.

Security model

ConcernFlagDefaultEffect
What can the server do at all?K8S_MODEread-onlyread-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_NAMESPACESkube-system,kube-public,kube-node-leaseCan 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_DELETEfalsedelete_resource needs this and admin mode.
Can it apply manifests?K8S_ALLOW_APPLYfalseapply_manifest needs this and read-write mode.
Can it exec into pods?K8S_ALLOW_EXECfalseexec_in_pod needs this and admin mode; the tool isn't even registered otherwise.
Preview without touching the clusterK8S_DRY_RUNfalseWrite/admin tools validate + log intent, then return without calling the API.
Audit trailK8S_AUDIT_LOGtrueEmits 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.

Tools

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.

Quickstart — add to your agent

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" } } } }

Run from source (development)

Prefer the published package above. To run from a clone:

npm install

npm run build node dist/index.js # with the environment variables set

Develop

npm run dev        # watch mode

npm test # unit tests for the security policy npm run typecheck

Publishing

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.

License

MIT

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