# CloudOps MCP

> CloudOps MCP — bienherasme-cloudops-mcp. Use this tool when you need to provide AI agents with normalized operational infrastructure context, such as logs, metrics, and health data, to inform decision-making and automation. CloudOps MCP exposes this data through a read-only Model Context Protocol server, offering a standardized interface for AI agents to access and utilize operational insights. Ideal for use cases requiring real-time infrastructure monitoring and automation, CloudOps MCP enables seamless integration with AI-powered tools and systems.

Canonical page: https://skillsregistry.net/skills/bienherasme-cloudops-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bienherasme-cloudops-mcp

## Description

CloudOps MCP is a read-only Model Context Protocol server that exposes normalized operational infrastructure context (logs, metrics, deployments, health) to AI agents through a small set of typed, bounded tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mtromy5emx)
- **Repository:** <https://github.com/bienherasme/cloudops-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": "bienherasme-cloudops-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bienherasme-cloudops-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bienherasme-cloudops-mcp/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