# Drengr

> Use this tool when you need to automate interactions with mobile devices, such as Android and iOS, to test, monitor, or control their functionality. Drengr solves problems related to mobile automation, including screen observation, action execution, and element querying, through its three core MCP tools. It accepts input through stdio transport and supports output to local devices via ADB/simctl or cloud device services, making it ideal for use cases requiring efficient mobile automation.

Canonical page: https://skillsregistry.net/skills/drengr  
JSON: https://api.skillsregistry.net/v1/skills/drengr

## Description

Drengr gives AI agents the ability to see, understand, and interact with Android and iOS mobile devices. Built as a single Rust binary with three core MCP tools (observe screen, take action, query elements), it supports both vision-based and text-only modes for efficient mobile automation. The platform includes a situation engine that tracks screen changes, crash detection, and stuck states between actions. Drengr works with any MCP client through stdio transport and supports local devices via ADB/simctl as well as cloud device services.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/drengr)
- **Repository:** <https://github.com/sharminsirajudeen/drengr-community>

## 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": "drengr"
    }
  }
}
```

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