# Deskview

> Deskview — alexey-max-fedorov-deskview. Use this tool when you need to capture frames from an iPhone's Continuity Camera Desk View feed with precision and flexibility. It solves problems such as instant capture, scene stabilization, and hand-gesture triggered capture, providing inputs through a stdio-based Node.js process and outputs as captured frames. Ideal for use cases requiring automated and efficient image capture from iPhone camera feeds.

Canonical page: https://skillsregistry.net/skills/alexey-max-fedorov-deskview  
JSON: https://api.skillsregistry.net/v1/skills/alexey-max-fedorov-deskview

## Description

This server gives Claude Desktop three tools for capturing frames from an iPhone's Continuity Camera Desk View feed: instant capture, capture once the scene stabilizes, and capture triggered by hand-gesture detection. It runs as a stdio-based Node.js process that spawns a compiled Swift binary, using on-device AVFoundation and Vision frameworks for all detection with no network calls or telemetry.</description>
<parameter name="classification">community

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alexey-max-fedorov-deskview)
- **Repository:** <https://github.com/alexey-max-fedorov/deskview-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": "alexey-max-fedorov-deskview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexey-max-fedorov-deskview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexey-max-fedorov-deskview/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