# Kubernetes GPU Agent

> Use this tool when you need to troubleshoot complex hardware failures in Kubernetes clusters with NVIDIA GPU hardware. It provides real-time GPU introspection and diagnostic capabilities through kubectl debug sessions, solving problems related to GPU inventory, health monitoring, and error analysis. The agent operates in read-only mode by default, making it a safe and efficient solution for site reliability engineers (SREs) to debug GPU-related issues in their clusters.

Canonical page: https://skillsregistry.net/skills/arangogutierrez-k8s-gpu-agent  
JSON: https://api.skillsregistry.net/v1/skills/arangogutierrez-k8s-gpu-agent

## Description

An ephemeral diagnostic agent for Kubernetes clusters that provides real-time NVIDIA GPU hardware introspection via stdio transport, designed for AI-assisted troubleshooting by SREs debugging complex hardware failures. Uses NVIDIA NVML library to expose GPU inventory, health monitoring, and XID error analysis tools through kubectl debug sessions, eliminating the need for persistent DaemonSets or standing infrastructure. Operates in read-only mode by default with an optional operator mode for destructive operations, featuring graceful degradation when GPU hardware is unavailable.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arangogutierrez-k8s-gpu-agent)
- **Repository:** <https://github.com/arangogutierrez/k8s-gpu-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "arangogutierrez-k8s-gpu-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arangogutierrez-k8s-gpu-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arangogutierrez-k8s-gpu-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt