# Kubernetes

> Use this tool when you need to manage Kubernetes resources and automate DevOps workflows through a standardized protocol. It solves problems related to cluster monitoring, troubleshooting, and resource management by providing a bridge between AI assistants and Kubernetes clusters. The tool takes in Kubernetes cluster configurations and outputs managed resources, such as pods, deployments, and services, allowing for scalable and efficient operations.

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

## Description

K8s MCP Server provides a bridge between AI assistants and Kubernetes clusters, enabling management of various Kubernetes resources through a standardized protocol. This Go implementation supports operations like listing and retrieving pods, deployments, services, and configmaps, as well as performing actions such as scaling deployments and viewing pod logs. The server connects to Kubernetes clusters using either in-cluster configuration or kubeconfig files, with support for read-only mode to prevent destructive operations. Particularly valuable for DevOps workflows, it allows AI assistants to help with cluster monitoring, troubleshooting, and resource management without requiring direct access to kubectl.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/briankscheong-kubernetes)
- **Repository:** <https://github.com/briankscheong/k8s-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": "briankscheong-kubernetes"
    }
  }
}
```

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