# vnc-mcp

> Use this tool when you need to automate interactions with remote desktops or leverage large language models (LLMs) to perform tasks on virtual desktops. It solves problems such as automating repetitive tasks, accessing remote systems, and integrating LLMs with desktop applications through VNC connections. The tool takes VNC connections as input and provides outputs including screen readings, mouse and keyboard control, and automated task execution.

Canonical page: https://skillsregistry.net/skills/regulad-vnc-mcp  
JSON: https://api.skillsregistry.net/v1/skills/regulad-vnc-mcp

## Description

Enables MCP-compatible LLMs to interact with any desktop accessible over VNC, providing tools for screen reading (OCR), mouse and keyboard control, and automation.

## Trust

- **Trust score (0–1):** 0.98
- **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:** [Glama](https://glama.ai/mcp/servers/pux7isdino)
- **Repository:** <https://github.com/regulad/vnc-mcp>

## 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": "regulad-vnc-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/regulad-vnc-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/regulad-vnc-mcp/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