# Claude KVM

> Use this tool when you need to automate interactions with remote desktops or control graphical user interfaces remotely. It solves problems of remote access and automation by providing a native Swift daemon for VNC connections and Apple Vision OCR for screen reading. Ideal for use cases requiring automated interaction with remote machines, such as testing, monitoring, or data entry.

Canonical page: https://skillsregistry.net/skills/gh-aras-workspace-claude-kvm  
JSON: https://api.skillsregistry.net/v1/skills/gh-aras-workspace-claude-kvm

## Description

Enables AI agents to control remote desktops through VNC connections using a native Swift daemon. Includes Apple Vision OCR for screen reading, allowing automated interaction with graphical user interfaces on remote machines.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-aras-workspace-claude-kvm)
- **Repository:** <https://github.com/aras-workspace/claude-kvm>

## 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": "gh-aras-workspace-claude-kvm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-aras-workspace-claude-kvm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-aras-workspace-claude-kvm/pull`

---
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