# mcp-vysor

> mcp-vysor — glira-mcp-vysor. Use this tool when you need to control and interact with Android devices remotely for testing, automation, or AI training purposes. It provides functionality for taking screenshots, simulating taps, and inspecting UI elements via ADB, with outputs suitable for Cursor and AI agents. Ideal for use cases requiring visual inspection and automation of Android devices, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/glira-mcp-vysor  
JSON: https://api.skillsregistry.net/v1/skills/glira-mcp-vysor

## Description

MCP server for visual Android device control via ADB — screenshots, taps, UI inspection for Cursor and AI agents

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **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/glira/mcp-vysor)

## 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": "glira-mcp-vysor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/glira-mcp-vysor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/glira-mcp-vysor/pull`

---
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