# chromium-arm64

> chromium-arm64 — nfodor-claude-arm64-browser. Use this tool when you need to automate browser interactions and perform web testing on ARM64 devices, such as Raspberry Pi, to navigate websites, capture screenshots, and execute JavaScript. It solves problems related to cross-platform testing and automation, providing a reliable interface for inputs like test scripts and outputs like test results and screenshots. Ideal for use cases requiring automated UI testing and browser automation on ARM64 architectures.

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

## Description

MCP server that enables browser automation and web testing on ARM64 devices like Raspberry Pi, allowing users to navigate websites, take screenshots, execute JavaScript, and perform UI testing via Claude.

## Trust

- **Trust score (0–1):** 0.74
- **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:** [Glama](https://glama.ai/mcp/servers/rltc7kwvzd)
- **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-claude-arm64-browser"
    }
  }
}
```

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