# native-devtools-mcp

> native-devtools-mcp — sh3ll3x3c-native-devtools-mcp. Use this tool when you need to automate interactions with native desktop apps, browsers, or Android devices, and require features like screenshots, OCR, and input simulation to streamline testing and automation tasks. It provides a local server interface for AI agents and MCP clients to control and manipulate elements on various platforms. Ideal for use cases involving automated testing, data extraction, and UI automation, where direct control and accessibility-based element lookup are necessary.

Canonical page: https://skillsregistry.net/skills/sh3ll3x3c-native-devtools-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sh3ll3x3c-native-devtools-mcp

## Description

Gives AI agents and MCP clients direct control over native desktop apps, Chrome/Electron browsers, and Android devices with screenshots, OCR, accessibility-based element lookup, input simulation, window management, CDP, and ADB in one local server.

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jk0ygfewl7)
- **Repository:** <https://github.com/vectora-foundry/native-devtools-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": "sh3ll3x3c-native-devtools-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sh3ll3x3c-native-devtools-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sh3ll3x3c-native-devtools-mcp/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