# mcp-k8s

> mcp-k8s — krmcbride-mcp-k8s. Use this tool when you need to monitor and observe Kubernetes clusters, providing visibility into performance and issues. It solves problems related to cluster management, scalability, and troubleshooting, accepting git inputs and outputting observability metrics. Ideal for use in containerized environments where real-time monitoring is crucial.

Canonical page: https://skillsregistry.net/skills/krmcbride-mcp-k8s  
JSON: https://api.skillsregistry.net/v1/skills/krmcbride-mcp-k8s

## Description

Observability focused Kubernetes MCP server

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/krmcbride/mcp-k8s)

## 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": "krmcbride-mcp-k8s"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krmcbride-mcp-k8s` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krmcbride-mcp-k8s/pull`

---
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