MCP K8s Ro

Name: MCP K8s Ro
Author: your-ko

by your-koversion 1.2.2i★ –iRuns on your computer

Registry nameio.github.your-ko/mcp-k8s-ro

Install

Overview

Description from the maker (original English)

Read-only Kubernetes MCP server: inspect resources, logs, events, and metrics. Secrets are masked.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new★ –

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

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "k8s-ro": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "KUBECONFIG",
        "ghcr.io/your-ko/mcp-k8s-ro:1.2.2"
      ],
      "env": {
        "KUBECONFIG": "your-value"
      }
    }
  }
}

Run this in your terminal

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

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": {
    "k8s-ro": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "KUBECONFIG",
        "ghcr.io/your-ko/mcp-k8s-ro:1.2.2"
      ],
      "env": {
        "KUBECONFIG": "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": {
    "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"
      }
    }
  }
}

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 env
Path to the kubeconfig file. Defaults to ~/.kube/config.

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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account your-ko, 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 5570 servers in this category
Published to the registry more recently than 70% of the other 5570 servers in this category
Basic checks equal to or better than 100% of the other 5570 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 K8s Ro 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 (1.2.2) reached the registry 10 days ago.

Which apps can use it?

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

What can I use instead?

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

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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Cloudflare MCP

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Install

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-k8s-ro

A read-only MCP server that gives Claude access to Kubernetes clusters. Built in Go, it communicates over stdio using the MCP protocol.

Design

Read-only — only 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.
Secret-safe — secret values are masked before being sent to the model, so your secrets cannot leak due to misconfiguration or prompt injection.
Token-efficient — responses include only relevant fields (name, status, restarts, etc.) rather than raw Kubernetes API objects, keeping context usage low.
Cluster-aware — every response includes the active context and cluster name, so Claude always knows which cluster it is talking to.
Context-pinned — the server locks to the active kubeconfig context at startup. Switching contexts in another terminal has no effect on the running server.
No extra infra — runs as a local binary or Docker container, connects to whatever kubeconfig context is active at startup.

Redacted fields

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

Tools

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.

Configuration

Environment variable	Default	Description
`KUBECONFIG`	`~/.kube/config`	Path to kubeconfig file

Usage with Claude

Docker (recommended)

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

Binary

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 xattr command 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

Custom kubeconfig location

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

Docker

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

Single-cluster design

The server intentionally operates on one kubeconfig context and provides no tool to switch clusters at runtime. The reasons are:

Prompt injection isolation — a malicious value in one cluster's resources (e.g. a pod annotation) cannot instruct Claude to pivot to a different cluster, including production.
Explicit audit boundary — every tool response includes the context and cluster name, so there is never ambiguity about which cluster was queried.

To point the server at a different cluster, stop the server, switch context, and restart:

kubectl config use-context my-other-cluster

then restart the MCP server / reload Claude Desktop

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.

MCP registry

This server is published on registry.modelcontextprotocol.io

MCP K8s Ro

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

mcp-k8s-ro

Design

Redacted fields

Tools

Configuration

Usage with Claude

Docker (recommended)

Binary

Custom kubeconfig location

Docker

Single-cluster design

then restart the MCP server / reload Claude Desktop

MCP registry