# Cloud VM MCP

> Use this tool when you need to manage and monitor virtual machines across multiple cloud providers, such as AWS, Azure, and Alibaba Cloud. It solves problems of fragmented VM management by providing a unified interface to list, inspect, and control VMs. The Cloud VM MCP takes cloud provider credentials as input and outputs a consolidated view of VM instances, making it ideal for use cases requiring multi-cloud VM oversight.

Canonical page: https://skillsregistry.net/skills/sondt2709-cloud-vm-mcp-py  
JSON: https://api.skillsregistry.net/v1/skills/sondt2709-cloud-vm-mcp-py

## Description

Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rpfzc7h6x3)
- **Repository:** <https://github.com/sondt2709/cloud-vm-mcp-py>

## 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": "sondt2709-cloud-vm-mcp-py"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sondt2709-cloud-vm-mcp-py` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sondt2709-cloud-vm-mcp-py/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