# Kube MCP

> Use this tool when you need to manage and interact with Kubernetes clusters, enabling AI assistants to perform operations on various resources such as pods and deployments. It solves problems related to cluster management, providing a safe and controlled environment for AI-driven operations. The tool accepts inputs such as cluster credentials and operation requests, and outputs include resource status and event logs.

Canonical page: https://skillsregistry.net/skills/icy-r-kubemcp  
JSON: https://api.skillsregistry.net/v1/skills/icy-r-kubemcp

## Description

Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.

## 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:** [Glama](https://glama.ai/mcp/servers/jqy7u4wrnu)
- **Repository:** <https://github.com/icy-r/kubemcp>

## 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": "icy-r-kubemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/icy-r-kubemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/icy-r-kubemcp/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