# CloudStack MCP Server

> Use this tool when you need to manage and automate CloudStack infrastructure tasks, such as virtual machine, networking, and storage operations, through a natural language interface. It solves problems related to infrastructure management, providing a secure and efficient way to access over 735 API methods. Ideal for use cases requiring comprehensive control and automation of CloudStack resources, with inputs including natural language commands and outputs including API method executions.

Canonical page: https://skillsregistry.net/skills/mozg31337-cloudstack-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mozg31337-cloudstack-mcp-server

## Description

Enables comprehensive management of CloudStack infrastructure through natural language, providing access to over 735 API methods for virtual machines, networking, and storage. It features enterprise-grade security with a safety confirmation system for destructive operations and extensive API coverage.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b6twt1xb9a)
- **Repository:** <https://github.com/mozg31337/cloudstack-mcp-server>

## 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": "mozg31337-cloudstack-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mozg31337-cloudstack-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mozg31337-cloudstack-mcp-server/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