git:20260710.2925510 to git:20260710.62afd0f
19 added, 15 removed. Audit B to A.
---
- title: "Analyze Kubernetes cluster issues through MCP with K8sGPT"
+ name: "Analyze Kubernetes cluster issues through MCP with K8sGPT"
+ slug: "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: "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
- Choose whichever fits your setup:
+ 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.
- 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.
+ 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
- Install command or upstream instructions:
+ 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 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.
- ```
+ - 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/)