# Screen Agent

> Use this tool when you need to automate interactions with Windows desktop applications, especially those with complex or dynamic user interfaces. The Screen Agent solves problems related to UI automation, such as clicking and typing, by utilizing OCR, UIA controls, and color matching, and improves operation success through a learning system. It takes input in the form of automation tasks and outputs successful interactions with desktop applications, making it ideal for use cases requiring reliable and efficient automation of graphical user interfaces.

Canonical page: https://skillsregistry.net/skills/lqszhsp-screen-agent  
JSON: https://api.skillsregistry.net/v1/skills/lqszhsp-screen-agent

## Description

A Windows desktop automation MCP server that enables UI recognition through OCR, UIA controls, and multi-point color matching. It allows agents to interact with desktop applications via actions like clicking and typing while using a learning system to track and improve operation success.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s1p4p5j9n5)
- **Repository:** <https://github.com/lqszhsp/screen-agent>

## 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": "lqszhsp-screen-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lqszhsp-screen-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lqszhsp-screen-agent/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