# Hyper-V Sandbox MCP Server

> Hyper-V Sandbox MCP Server — ilkuru-mcp-server-antigravity-hyperv. Use this tool when you need to safely test and debug scripts and system utilities in an isolated environment. It solves problems related to script testing, debugging, and validation by providing a secure Hyper-V virtual machine sandbox with features like snapshot rollback and autonomous self-correction. The tool accepts PowerShell, CMD/BAT scripts, and system utilities as inputs and provides execution results and file transfer capabilities as outputs.

Canonical page: https://skillsregistry.net/skills/ilkuru-mcp-server-antigravity-hyperv  
JSON: https://api.skillsregistry.net/v1/skills/ilkuru-mcp-server-antigravity-hyperv

## Description

Enables AI agents to safely test and debug PowerShell, CMD/BAT scripts, and system utilities inside isolated Hyper-V virtual machines, with snapshot rollback, host-to-guest file transfer, PowerShell Direct execution, and autonomous self-correction on failures.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zbl31tn0mg)
- **Repository:** <https://github.com/ilkuru/mcp-server-antigravity-hyperv>

## 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": "ilkuru-mcp-server-antigravity-hyperv"
    }
  }
}
```

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