# Kubernetes

> Use this tool when you need to manage and monitor multiple Kubernetes clusters, as it provides comprehensive capabilities for listing, describing, and monitoring resources across different contexts. It solves problems related to multi-cluster operations, resource discovery, and event monitoring, accepting inputs through standard kubeconfig files and API group filtering. It is ideal for use cases involving AI-assisted cluster troubleshooting, resource monitoring, and operational tasks in complex Kubernetes environments.

Canonical page: https://skillsregistry.net/skills/kkb0318-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/kkb0318-kubernetes

## Description

This Kubernetes MCP server implementation provides comprehensive cluster management capabilities through multiple tools for listing, describing, and monitoring Kubernetes resources across different contexts. Built in Go by kkb0318, it supports multi-cluster operations with context switching, advanced resource discovery through API group filtering, pod log retrieval with flexible options, and event monitoring with time-based filtering. The server integrates with standard kubeconfig files and offers both summary and detailed views of resources, making it useful for AI-assisted cluster troubleshooting, resource monitoring, and operational tasks across multiple Kubernetes environments.

## Trust

- **Trust score (0–1):** 0.98
- **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/kkb0318-kubernetes)
- **Repository:** <https://github.com/kkb0318/kubernetes-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": "kkb0318-kubernetes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kkb0318-kubernetes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kkb0318-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