# Scrcpy Android Control

> Use this tool when you need to remotely control and interact with Android devices, automating tasks such as app management, input simulation, and file transfer. It solves problems related to Android device automation, testing, and debugging by providing a comprehensive set of tools and near-instant input capabilities. With inputs including ADB connections and scrcpy protocols, and outputs such as screenshots and UI element information, this tool is ideal for use cases requiring rapid and precise Android device control.

Canonical page: https://skillsregistry.net/skills/juancf-scrcpy  
JSON: https://api.skillsregistry.net/v1/skills/juancf-scrcpy

## Description

Gives AI agents full vision and control over Android devices through ADB and scrcpy. Provides 34 tools covering screenshots, tap/swipe/type input, app management, UI element finding, shell commands, file transfer, and clipboard operations. Uses scrcpy's binary control protocol for near-instant screenshots and significantly faster input compared to ADB fallback.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/juancf-scrcpy)
- **Repository:** <https://github.com/juancf/scrcpy-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": "juancf-scrcpy"
    }
  }
}
```

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