# K8s MCP Server

> Use this tool when you need to run Kubernetes CLI tools in a secure and containerized environment. It solves problems related to managing Kubernetes resources and deploying applications, providing a safe and controlled space for executing commands like kubectl, istioctl, helm, and argocd. The K8s MCP Server takes in Model Context Protocol inputs and outputs results, ideal for use cases requiring isolated and reliable Kubernetes management.

Canonical page: https://skillsregistry.net/skills/alexei-led-k8s-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/alexei-led-k8s-mcp-server

## Description

Enables Claude to run Kubernetes CLI tools (kubectl, istioctl, helm, argocd) in a secure, containerized environment via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxug6lpk4a)
- **Repository:** <https://github.com/alexei-led/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": "alexei-led-k8s-mcp-server"
    }
  }
}
```

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