git:20260518.471df3d to git:20260710.2925510
16 added, 20 removed. Audit A to B.
---
- name: "Analyze Kubernetes cluster issues through MCP with K8sGPT"
- slug: "analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt"
+ title: "Analyze Kubernetes cluster issues through MCP with K8sGPT"
description: "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."
- github_stars: 7687
- verification: "listed"
+ verification: "security_reviewed"
source: "https://github.com/k8sgpt-ai/k8sgpt"
author: "K8sGPT Authors"
publisher_type: "organization"
- category: "Runbooks & Diagnostics"
- framework: "MCP"
+ category:
+ - "Runbooks & Diagnostics"
+ framework:
+ - "MCP"
tool_ecosystem:
github_repo: "k8sgpt-ai/k8sgpt"
github_stars: 7687
---
# 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.
+ Choose whichever fits your setup:
- 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
+ 1. Copy this skill folder into your local skills directory.
+ 2. Clone the repo and symlink or copy the skill into your agent workspace.
+ 3. Add the repo as a git submodule if you manage shared skills centrally.
+ 4. Install it through your internal provisioning or packaging workflow.
+ 5. Download the folder directly from GitHub and place it in your skills collection.
- 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)
+ Install command or upstream instructions:
- - Source: https://github.com/k8sgpt-ai/k8sgpt
- - Extracted from upstream docs: https://raw.githubusercontent.com/k8sgpt-ai/k8sgpt/HEAD/README.md
+ ```
+ 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.
+ ```
## Documentation
- https://docs.k8sgpt.ai/
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt/)