# CloudStack

> Use this tool when you need to manage Apache CloudStack infrastructure using natural language requests, enabling AI assistants to deploy VMs, manage resources, and perform infrastructure operations without requiring direct API knowledge. It solves problems for DevOps teams by providing a standardized interface for infrastructure management tasks, accepting natural language inputs and generating corresponding CloudStack API calls as output. It is particularly useful in cloud infrastructure management contexts where automation and ease of use are essential.

Canonical page: https://skillsregistry.net/skills/walteh-cloudstack  
JSON: https://api.skillsregistry.net/v1/skills/walteh-cloudstack

## Description

CloudStack MCP is a server implementation that enables AI assistants to interact with Apache CloudStack infrastructure through a standardized interface. Built in Go, it translates natural language requests into CloudStack API calls, allowing for VM deployment, resource management, and infrastructure operations without requiring direct API knowledge. The server supports both SSE and stdio communication modes, includes comprehensive logging, and provides dynamic tool generation based on the CloudStack API. This implementation is particularly useful for DevOps teams managing cloud infrastructure who want to leverage AI assistants for infrastructure management tasks.

## 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:** devops-ci
- **Updated:** 2026-04-25

## Source

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

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

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