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.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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:
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
Extracted from upstream docs: https://raw.githubusercontent.com/k8sgpt-ai/k8sgpt/HEAD/README.md
Documentation
Source
Files (skills)
-
SKILL.md 1.9 KB
--- 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" 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. 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/)
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