# Kubernetes Monitoring

> Use this tool when you need to monitor and troubleshoot Kubernetes clusters, as it provides a read-only interface for querying detailed information about cluster resources and events. It solves problems related to cluster health, issue identification, and resource utilization analysis. The tool accepts queries as input and returns detailed information about namespaces, pods, nodes, and other Kubernetes resources as output.

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

## Description

This MCP server implementation provides a read-only interface for querying Kubernetes clusters. Developed by Valentin Tunev, it offers tools for retrieving detailed information about namespaces, pods, nodes, deployments, services, and events. The server is particularly useful for monitoring cluster health, troubleshooting issues, and gathering insights on resource utilization across Kubernetes environments.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vlttnv-kubernetes-monitoring)
- **Repository:** <https://github.com/vlttnv/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": "vlttnv-kubernetes-monitoring"
    }
  }
}
```

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