Analyze Kubernetes cluster issues through MCP with K8sGPT

Analyze Kubernetes cluster issues through MCP with K8sGPT

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