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Analyze Kubernetes cluster issues through MCP with K8sGPT

Skill Detail

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.

Runbooks & DiagnosticsMCP
Runbooks & Diagnostics MCP Security Reviewed
⭐ 7.7k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
View source Documentation
At a glance
Tools required
A reachable Kubernetes cluster, K8sGPT, and an MCP-compatible client
Install & setup
Install K8sGPT (for example: brew install k8sgpt), configure an AI backend with k8sgpt auth, then start the MCP server with k8sgpt serve –mcp –mcp-http and connect your MCP client.
Author
K8sGPT Authors
Publisher
Organization
Last updated
Apr 20, 2026
Quick brief

Use K8sGPT when an agent needs a fast diagnostic pass over a Kubernetes cluster before a human starts manually stitching together events, failing resources, and likely causes. K8sGPT analyzes cluster objects, explains findings in plain language, and can expose that workflow through an MCP server for Claude Desktop and other MCP-compatible clients.

How it works

What this skill actually does

Invoke it for outage triage, failed rollout review, and namespace health checks when the job is to summarize what is broken and why. The scope boundary is specific: this skill is about running K8sGPT analysis and explanation flows via its MCP surface, not about general cluster administration or a generic Kubernetes product listing.