# ARM64 Browser Automation

> Use this tool when you need to automate browser interactions on ARM64 devices, such as Raspberry Pi, to solve issues like browser automation failures due to x86_64 binary dependencies. It provides inputs for navigation, JavaScript execution, and form interaction, and outputs screenshots, content extraction, and automation results. Ideal for use cases like SaaS testing, competitive analysis, and web scraping on low-cost ARM64 hardware.

Canonical page: https://skillsregistry.net/skills/nfodor-arm64-browser  
JSON: https://api.skillsregistry.net/v1/skills/nfodor-arm64-browser

## Description

This ARM64 browser automation server enables AI assistants to control Chromium browsers on ARM64 devices like Raspberry Pi, addressing the common issue where standard browser automation tools like Puppeteer fail on ARM architecture due to x86_64 binary dependencies. Built specifically for budget AI development setups, it uses system-installed Chromium with optimized launch flags for headless operation, providing tools for navigation, screenshots, JavaScript execution, form interaction, and content extraction. The implementation is particularly valuable for SaaS testing automation, competitive analysis, and web scraping workflows on low-cost ARM64 hardware, democratizing browser automation capabilities that were previously limited to expensive x86_64 development environments.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nfodor-arm64-browser)
- **Repository:** <https://github.com/nfodor/mcp-chromium-arm64>

## 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": "nfodor-arm64-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nfodor-arm64-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nfodor-arm64-browser/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