# Kubernetes

> Use this tool when you need to manage Kubernetes cluster operations, such as listing, creating, and managing pods, deployments, and services, directly within AI assistant conversations. It solves problems like monitoring cluster state, deploying test containers, and troubleshooting issues, all without requiring separate command-line tools. The tool takes in commands and parameters as input and outputs logs, resource status, and other operational data, making it ideal for DevOps workflows and Kubernetes management use cases.

Canonical page: https://skillsregistry.net/skills/lochgeo-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/lochgeo-kubernetes

## Description

The kube-mcp server provides AI assistants with direct access to Kubernetes cluster operations through a set of specialized tools built with Python using the FastMCP framework. It enables capabilities like listing, creating, and managing pods, deployments, and services, as well as retrieving logs and cleaning up resources. The implementation includes predefined container templates for common images (Ubuntu, Nginx, Busybox, Alpine) with appropriate resource limits and health checks. It's particularly valuable for DevOps workflows requiring Kubernetes management within AI assistant conversations, allowing users to monitor cluster state, deploy test containers, and troubleshoot issues without switching to separate command-line tools.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lochgeo-kubernetes)
- **Repository:** <https://github.com/lochgeo/kube-mcp>

## 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": "lochgeo-kubernetes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lochgeo-kubernetes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lochgeo-kubernetes/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