# OpenEyes

> OpenEyes — yangpeng366-openeyes. Use this tool when you need to automate interactions with desktop GUI applications across various operating systems, including Windows, macOS, and Linux. OpenEyes provides AI-friendly primitives such as capture, detect, and click, enabling LLM agents to drive applications seamlessly. It takes in AI commands and outputs GUI interactions, making it ideal for automating tasks that require human-like computer interactions.

Canonical page: https://skillsregistry.net/skills/yangpeng366-openeyes  
JSON: https://api.skillsregistry.net/v1/skills/yangpeng366-openeyes

## Description

MCP server providing AI-friendly computer-use primitives (capture, detect, click) to let LLM agents drive desktop GUI applications on Windows, macOS, and Linux.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ubaud9nple)
- **Repository:** <https://github.com/yangpeng366/openeyes>

## 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": "yangpeng366-openeyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yangpeng366-openeyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yangpeng366-openeyes/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