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MCP server · Developer tools

Kubernetes MCP server

by rohitg00

Ask your AI about your Kubernetes cluster in plain English and let it look things up or fix them.

Flow diagram: you ask your AI “Why is my nginx pod crashing?”, the Kubernetes MCP server connects it to Kubernetes cluster, and you get back plain answer in chat.

This is a helper that connects your AI assistant to your Kubernetes cluster. Kubernetes is the system many companies use to run their apps behind the scenes, and normally you need to type tricky commands to see what is going on. With this connected, you can just ask questions in normal words instead.

What is an MCP server? The 30-second version

On its own, your AI can only chat with you. An MCP server is a small helper program that gives your AI a new skill or a connection to another system. This one connects your AI to your Kubernetes cluster, so it can look things up and make changes there when you ask. You do not need to learn any commands; the helper handles that part.

What this MCP server does

You ask your AI something like why a pod is crashing or how many copies of an app are running. The AI sends that request to this helper program. The helper talks to your Kubernetes cluster using the tools already set up on your computer. It brings the answer back and explains it to you in the chat. If you ask it to change something, like scaling an app up or down, it can do that too.

Flow diagram: you ask your AI “Why is my nginx pod crashing?”, the Kubernetes MCP server connects it to Kubernetes cluster, and you get back plain answer in chat. Click to zoom

What you can do with it

  • Check why a pod or app is crashing
  • List pods, services, and deployments in a namespace
  • Scale a deployment up or down
  • Look at logs and events for a specific pod
  • Audit security settings and permissions
  • Find resources that are wasting money
  • Install or list Helm charts and releases

Try asking your AI

  • “Why is my nginx pod crashing?”
  • “Show me all pods in the kube-system namespace”
  • “Scale my frontend deployment to 5 replicas”
  • “Which pods are using the most resources?”

What it gives back to you

You get answers in the chat, written in normal language. It can show lists of pods or services, summaries of what is wrong, log excerpts, and suggestions for fixes. If you asked it to change something, it tells you what it changed.

Before you start

What you need

  • kubectl installed and pointed at a cluster
  • Node.js 14 or newer (for the quick npx way)
  • Python 3.9 or newer (if you prefer the pip way)
  • Access to a Kubernetes cluster

Good to know

This helper can change and delete things in your cluster, so be careful with requests like delete or scale, especially on a live system.

Install it with your AI

Add Kubernetes MCP server to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check Kubernetes MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.

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Who it's for

People who work with Kubernetes clusters but would rather ask questions in plain English than memorize commands, like developers, DevOps folks, and support engineers.