# mcp-k8s-observability

> mcp-k8s-observability — neoscraids-mcp-k8s-observability. Use this tool when you need to monitor and inspect Kubernetes, Prometheus, and Loki using Model Context Protocol (MCP) and AI agents, providing telemetry and insights into your system's performance. It solves problems related to observability, logging, and metrics collection in containerized environments. The tool takes in system data and outputs actionable insights, making it ideal for use cases where real-time monitoring and debugging are crucial.

Canonical page: https://skillsregistry.net/skills/neoscraids-mcp-k8s-observability  
JSON: https://api.skillsregistry.net/v1/skills/neoscraids-mcp-k8s-observability

## Description

Servidor MCP (Model Context Protocol) en Python para inspeccion y telemetria de Kubernetes, Prometheus y Loki mediante agentes de IA.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NeoScraids/mcp-k8s-observability)

## 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": "neoscraids-mcp-k8s-observability"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neoscraids-mcp-k8s-observability` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neoscraids-mcp-k8s-observability/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