# Browserose MCP

> Use this tool when you need to automate Google Chrome browser interactions, including navigation and iframe manipulation, to enable end-to-end testing and diagnostics. It provides a server-based interface for AI agents to control Chrome via Playwright, accepting inputs such as automation scripts and outputs like diagnostic results. Ideal for use cases requiring seamless iframe support and robust browser automation.

Canonical page: https://skillsregistry.net/skills/ettomarett-browserose-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ettomarett-browserose-mcp

## Description

MCP server for AI agents to control Google Chrome via Playwright with full iframe support, enabling end-to-end browser automation including navigation, interaction within iframes, and diagnostic tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nyg9bcxug1)
- **Repository:** <https://github.com/ettomarett/Browserose-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": "ettomarett-browserose-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ettomarett-browserose-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ettomarett-browserose-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