# lowlevel-computer-use-mcp

> lowlevel-computer-use-mcp — ding-ding-projects-lowlevel-computer-use-mcp. Use this tool when you need to automate GUI applications on headless desktops without disrupting user activity. It provides background control of mouse and keyboard inputs, manages windows and processes, and captures screenshots, enabling seamless human handoff. Ideal for automating tasks that require real GUI interactions, such as data entry or workflow automation, in a non-intrusive manner.

Canonical page: https://skillsregistry.net/skills/ding-ding-projects-lowlevel-computer-use-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ding-ding-projects-lowlevel-computer-use-mcp

## Description

Enables MCP agents to automate real GUI applications on headless desktops, providing background mouse/keyboard control, window/process management, screenshots, and safe human handoff without disturbing the user's desktop.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ruqmtt3jhn)
- **Repository:** <https://github.com/Ding-Ding-Projects/lowlevel-computer-use-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": "ding-ding-projects-lowlevel-computer-use-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ding-ding-projects-lowlevel-computer-use-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ding-ding-projects-lowlevel-computer-use-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