# Kubernetes MCP Server

> Use this tool when you need to manage Kubernetes clusters efficiently through natural language commands, solving problems such as streamlining resource management and troubleshooting. It takes natural language inputs and provides outputs including resource listings, logs, and execution results, enabling seamless interaction with Kubernetes clusters. Ideal for use cases where automated cluster management and AI-driven operations are required.

Canonical page: https://skillsregistry.net/skills/thekaranpargaie-kube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thekaranpargaie-kube-mcp

## Description

Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.

## Trust

- **Trust score (0–1):** 0.96
- **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:** [Glama](https://glama.ai/mcp/servers/q12upv16ec)
- **Repository:** <https://github.com/thekaranpargaie/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": "thekaranpargaie-kube-mcp"
    }
  }
}
```

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