Analyze Kubernetes cluster issues through MCP with K8sGPT

SkillCloud & infra

Once added, your AI can check a Kubernetes cluster for problems and explain them in plain language. It scans the cluster, identifies unhealthy resources, and returns prioritized suggestions for what to fix first. This gives you a clear starting point whenever something in the cluster looks wrong.

Use Analyze Kubernetes cluster issues through MCP with K8sGPT in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Analyze Kubernetes cluster issues through MCP with K8sGPT and connect your AI. About a minute.

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Then ask your AI: use the Analyze Kubernetes cluster issues through MCP with K8sGPT skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add the skill, then ask your AI to scan your Kubernetes cluster and explain what needs fixing. Start with a simple request like checking what is unhealthy in the cluster right now.

Analyze Kubernetes cluster issues through MCP with K8sGPTStart free

What your AI can do with it

Scan a Kubernetes cluster and find unhealthy resources
Explain what is wrong with each problematic resource in plain language
Prioritize cluster issues so the most urgent ones surface first
Suggest what to fix, described in natural language

What this skill tells your AI

The instructions your AI receives, as published by agentskillexchange/skills in skills/analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt/SKILL.md and read by Ahel’s review.

Run K8sGPT as an MCP server so an agent can scan a Kubernetes cluster, explain unhealthy resources, and return prioritized remediation clues in natural language.

Prerequisites

A reachable Kubernetes cluster, K8sGPT, and an MCP-compatible client

Installation

Use the upstream install or setup path that matches your environment:

brew install k8sgpt
brew tap k8sgpt-ai/k8sgpt
built from the source. k8sgpt Install Clang or run brew install gcc.

Requirements and caveats from upstream:

K8sGPT can be integrated with Claude Desktop to provide AI-powered Kubernetes cluster analysis. This integration requires K8sGPT v0.4.14 or later.
Analyzer Node took 160.109833ms
Node

Basic usage or getting-started notes:

Quick Start
If you install gcc as suggested, the problem will persist. Therefore, you need to install the build-essential package.
Currently, the default AI provider is OpenAI, you will need to generate an API key from OpenAI
Source: https://github.com/k8sgpt-ai/k8sgpt
Extracted from upstream docs: https://raw.githubusercontent.com/k8sgpt-ai/k8sgpt/HEAD/README.md

Documentation

https://docs.k8sgpt.ai/

Source

Agent Skill Exchange

Signals

GitHub stars: 51
Forks: 73
Last commit: Oct 2026

Ahel review

S4info
community integration, published by agentskillexchange, not kubernetes
K1binfo
installs-packages

Automated review, not a security audit. Ruleset v1+k2.

Advanced

Item type: skill
Key: analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt
Source: github.com/agentskillexchange/skills

github.com/agentskillexchange/skills