# claude-eyes

> claude-eyes — afrid1997-claude-eyes. Use this tool when you need to integrate virtual assistance with physical world interactions, providing a server that enables Claude to perceive and interact with its environment through various devices such as Mac screens, webcams, and security cameras. It solves problems related to remote monitoring and control, allowing for a more immersive and interactive experience. The claude-eyes server takes in device feeds as input and outputs a unified interface for Claude to access and manipulate its surroundings.

Canonical page: https://skillsregistry.net/skills/afrid1997-claude-eyes  
JSON: https://api.skillsregistry.net/v1/skills/afrid1997-claude-eyes

## Description

MCP server that gives Claude eyes and hands in the physical world — Mac screen, webcam, phone cameras, phone screens, and security cameras

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/afrid1997/claude-eyes)

## 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": "afrid1997-claude-eyes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/afrid1997-claude-eyes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/afrid1997-claude-eyes/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