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](#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](https://openai.com) - 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](https://agentskillexchange.com/skills/analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt/)