# screen-mcp

> screen-mcp — ferre-z-screen-mcp. Use this tool when you need to visually inspect or analyze a Hyprland Wayland desktop environment. It captures screenshots via grim and provides optional image analysis through the Gemini API, enabling AI agents to process and understand visual data. Ideal for use cases requiring automated visual verification, testing, or monitoring of desktop applications and interfaces.

Canonical page: https://skillsregistry.net/skills/ferre-z-screen-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ferre-z-screen-mcp

## Description

Gives AI agents eyes on Hyprland Wayland desktops by capturing screenshots via grim and offering optional image analysis with Gemini API.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ybaj5bguc5)
- **Repository:** <https://github.com/ferre-z/screen-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": "ferre-z-screen-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferre-z-screen-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferre-z-screen-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
