# MCP Scrcpy Vision

> Use this tool when you need to automate interactions with Android devices or analyze their screens in real-time. It solves problems such as testing mobile apps, automating repetitive tasks, and monitoring device activity by providing a programmatic interface for screen streaming, UI automation, and input control. It accepts device connections and control commands as inputs and outputs real-time screen data and automation results.

Canonical page: https://skillsregistry.net/skills/invidtiv-mcp-scrcpy-vision  
JSON: https://api.skillsregistry.net/v1/skills/invidtiv-mcp-scrcpy-vision

## Description

Provides AI agents with real-time vision and control over Android devices through screen streaming, UI automation, and fast input control via scrcpy protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wanp3dxob2)
- **Repository:** <https://github.com/invidtiv/mcp-scrcpy-vision>

## 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": "invidtiv-mcp-scrcpy-vision"
    }
  }
}
```

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

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