# Kubernetes Tools

> Use this tool when you need to monitor and diagnose Kubernetes clusters without requiring kubectl knowledge, to solve problems like cluster performance issues, deployment errors, and node failures. It provides read-only operations for listing pods, nodes, services, and deployments, and retrieving container statuses and logs through stdio and HTTP transports. Ideal for building AI agents that perform cluster monitoring, root cause analysis, and troubleshooting workflows with type safety and detailed documentation.

Canonical page: https://skillsregistry.net/skills/benedat-k8stools  
JSON: https://api.skillsregistry.net/v1/skills/benedat-k8stools

## Description

A Kubernetes monitoring and diagnostics MCP server by Benedat LLC that provides strongly-typed tools for interacting with Kubernetes clusters without requiring kubectl knowledge. Built on the official Kubernetes Python API, it exposes read-only operations like listing pods, nodes, services, and deployments, retrieving container statuses and logs, and viewing pod events through both stdio and HTTP transports. The implementation emphasizes quality over quantity with comprehensive Pydantic models that mirror kubectl output formats, making it ideal for building AI agents that can perform cluster monitoring, root cause analysis, and troubleshooting workflows while maintaining type safety and detailed documentation for reliable agent interactions.

## 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/benedat-k8stools)
- **Repository:** <https://github.com/benedatllc/k8stools>

## 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": "benedat-k8stools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benedat-k8stools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benedat-k8stools/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