# Kubernetes

> Use this tool when you need to manage and automate Kubernetes clusters through a unified interface, solving problems such as pod operations, deployment management, and resource monitoring. It accepts inputs like YAML resources and natural language conversations, and outputs real-time metrics and logs, making it ideal for DevOps automation and cluster troubleshooting. With its specialized tools and AI-powered interface, Kubernetes streamlines infrastructure management workflows and provides intelligent insights for efficient decision-making.

Canonical page: https://skillsregistry.net/skills/rahul007-bit-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/rahul007-bit-kubernetes

## Description

A Kubernetes server that provides cluster management capabilities through 20+ specialized tools for pod operations, deployment management, node administration, and resource monitoring. Built with the FastMCP framework and the official Kubernetes Python client, it offers CRUD operations including pod logs retrieval, deployment scaling, rollout restarts, node cordoning/uncordoning, event monitoring, and YAML resource application with intelligent upsert logic. The implementation includes both a standalone server and a full-stack web application with React frontend, FastAPI backend, and real-time WebSocket streaming for interactive Kubernetes management through natural language conversations powered by Google's Gemini AI, making it useful for DevOps automation, cluster troubleshooting, and AI-assisted infrastructure management workflows.

## Trust

- **Trust score (0–1):** 0.87
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/rahul007-bit-kubernetes)
- **Repository:** <https://github.com/rahul007-bit/k8s-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": "rahul007-bit-kubernetes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rahul007-bit-kubernetes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rahul007-bit-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