# Kubernetes

> Use this tool when you need to manage and interact with Kubernetes clusters using natural language, solving problems like retrieving pod information, managing deployments, and troubleshooting cluster issues. It takes in natural language inputs and outputs Kubernetes resource information, providing a conversational interface to kubectl commands. Ideal for DevOps workflows, it enables users to create, scale, and monitor resources without requiring exact kubectl syntax.

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

## Description

The MCP Kubernetes Server provides a bridge between Large Language Models and Kubernetes clusters through a set of specialized tools. Built with Python using the FastMCP framework, it wraps kubectl commands to enable operations like retrieving pod information, managing deployments, switching contexts, and troubleshooting cluster issues. The server requires a configured kubectl environment and can be integrated with Claude Desktop for seamless natural language interactions with Kubernetes resources. It's particularly valuable for DevOps workflows that benefit from conversational interfaces to Kubernetes, allowing users to create, scale, and monitor resources without remembering exact kubectl syntax.

## Trust

- **Trust score (0–1):** 0.72
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/abhijeetka-kubernetes)
- **Repository:** <https://github.com/abhijeetka/mcp-k8s-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": "abhijeetka-kubernetes"
    }
  }
}
```

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