# mcp-virtualbox

> mcp-virtualbox — danielharderpi-png-mcp-virtualbox. Use this tool when you need to manage VirtualBox environments programmatically, allowing AI assistants to control VMs, snapshots, and guest execution directly. It solves problems related to automated testing, deployment, and virtual machine management by providing a lightweight MCP server interface. This tool accepts inputs from AI agents and outputs VirtualBox environment changes, ideal for use cases requiring automated virtualization control.

Canonical page: https://skillsregistry.net/skills/danielharderpi-png-mcp-virtualbox  
JSON: https://api.skillsregistry.net/v1/skills/danielharderpi-png-mcp-virtualbox

## Description

A lightweight Model Context Protocol (MCP) server that gives AI assistants direct control over your local VirtualBox environment to manage VMs, snapshots, and guest execution.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/danielharderpi-png/mcp-virtualbox)

## 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": "danielharderpi-png-mcp-virtualbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danielharderpi-png-mcp-virtualbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danielharderpi-png-mcp-virtualbox/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