# E2E Browser Automation

> Use this tool when you need to automate browser interactions for end-to-end testing, content extraction, or automated browsing workflows. It solves problems related to AI-assisted web testing and provides a server-based solution with headless or visible browser operation. The tool integrates with LLM providers and accepts inputs through the Model Context Protocol, outputting automated browser interactions to enhance AI-powered development workflows.

Canonical page: https://skillsregistry.net/skills/m2rads-e2e-browser-automation  
JSON: https://api.skillsregistry.net/v1/skills/m2rads-e2e-browser-automation

## Description

E2E-MCP provides a server for running end-to-end tests using browser automation through the Model Context Protocol. Built with Python, it integrates with LLM providers like OpenAI and Anthropic to power an agent that can interact with web browsers using the browser-use library. The implementation allows for headless or visible browser operation, making it ideal for AI-assisted web testing, content extraction, and automated browsing workflows. The server can be debugged using the MCP inspector tool and is designed to enhance 'Vibe Coding' workflows in AI IDEs like Cursor or Windsurf.

## Trust

- **Trust score (0–1):** 0.93
- **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/m2rads-e2e-browser-automation)
- **Repository:** <https://github.com/m2rads/limetest>

## 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": "m2rads-e2e-browser-automation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2rads-e2e-browser-automation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2rads-e2e-browser-automation/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