# parallel-browser-mcp

> parallel-browser-mcp — etairl-parallel-browser-mcp. Use this tool when you need to automate browser interactions in parallel across multiple cloud providers, streamlining testing and deployment processes for AI agents. It solves problems of scalability and efficiency in browser automation, supporting multiple cloud environments. With git integration, it accepts code repositories as input and outputs automated browser interactions, ideal for use cases requiring rapid and concurrent testing.

Canonical page: https://skillsregistry.net/skills/etairl-parallel-browser-mcp  
JSON: https://api.skillsregistry.net/v1/skills/etairl-parallel-browser-mcp

## Description

An MCP server for parallel browser automation by AI agents with multiple cloud providers

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/etairl/parallel-browser-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": "etairl-parallel-browser-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/etairl-parallel-browser-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/etairl-parallel-browser-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