# k8s-ops-mcp-agent

> k8s-ops-mcp-agent — takoumenecarel-gh-k8s-ops-mcp-agent. Use this tool when you need to monitor and manage Kubernetes cluster health, as it enables AI agents to inspect cluster status and perform corrective actions like restarting or scaling deployments with human approval. This tool solves problems related to cluster maintenance, downtime, and resource optimization, providing inputs like cluster health metrics and outputs like recommended actions. It is ideal for use cases where automated monitoring and remediation are required, with a interface that requires explicit human confirmation for actions.

Canonical page: https://skillsregistry.net/skills/takoumenecarel-gh-k8s-ops-mcp-agent  
JSON: https://api.skillsregistry.net/v1/skills/takoumenecarel-gh-k8s-ops-mcp-agent

## Description

An AI SRE copilot for Kubernetes that lets LLM agents inspect cluster health and, with explicit human confirmation, restart or scale deployments.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/le2h980r0q)
- **Repository:** <https://github.com/takoumenecarel-gh/k8s-ops-mcp-agent>

## 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": "takoumenecarel-gh-k8s-ops-mcp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/takoumenecarel-gh-k8s-ops-mcp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/takoumenecarel-gh-k8s-ops-mcp-agent/pull`

---
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