# agentic-android

> Use this tool when you need to control and interact with Android devices remotely, enabling large language models (LLMs) to automate tasks and inspect UI elements. It solves problems related to automated testing, device automation, and UI inspection by providing a server-based interface to Android devices via ADB. The tool accepts LLM inputs and outputs device screen interactions and UI inspection results.

Canonical page: https://skillsregistry.net/skills/xdope7137-agentic-android  
JSON: https://api.skillsregistry.net/v1/skills/xdope7137-agentic-android

## Description

MCP server that enables LLMs to control Android devices via ADB, providing tools for screen interaction and UI inspection.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/agaimkdy6s)
- **Repository:** <https://github.com/xDope7137/agentic-android>

## 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": "xdope7137-agentic-android"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xdope7137-agentic-android` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xdope7137-agentic-android/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