# KDebug (Kubernetes)

> Use this tool when you need to troubleshoot Kubernetes issues or inspect cluster resources through natural language conversations. KDebug provides a user-friendly interface for viewing logs, monitoring events, and switching between contexts, solving problems related to deployment, node, and service management. It takes natural language inputs and outputs formatted tables for easy readability, making it ideal for DevOps engineers and system administrators.

Canonical page: https://skillsregistry.net/skills/soub4i-kdebug  
JSON: https://api.skillsregistry.net/v1/skills/soub4i-kdebug

## Description

KDebug is a Kubernetes debugging tool that enables Claude AI to interact with Kubernetes clusters through the Model Control Protocol (MCP). Developed by soub4i, it provides a set of tools for inspecting Kubernetes resources including pods, services, deployments, and nodes, viewing logs, monitoring events, and switching between contexts. The implementation uses the client-go library to communicate with Kubernetes clusters and presents data in formatted tables for easy readability. KDebug is particularly valuable for DevOps engineers and system administrators who want to troubleshoot Kubernetes issues through natural language conversations rather than typing kubectl commands.

## Trust

- **Trust score (0–1):** 1.00
- **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/soub4i-kdebug)
- **Repository:** <https://github.com/soub4i/kdebug-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": "soub4i-kdebug"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/soub4i-kdebug` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/soub4i-kdebug/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