# Browser Automation

> Use this tool when you need to automate web interactions, such as navigation, form filling, and scrolling, with minimal human supervision. It solves problems related to web scraping, testing, and automated browsing, handling complex edge cases in web element interaction. The tool accepts input commands and outputs automated browser actions, making it ideal for use cases requiring robust and flexible web automation.

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

## Description

Selenium-powered browser automation MCP server that enables AI agents to perform web interactions like navigation, clicking, form filling, and scrolling with minimal human supervision. Built to support complex web tasks through a flexible, robust set of tools that handle various edge cases in web element interaction, making it particularly useful for web scraping, testing, and automated browsing scenarios.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/browser-automation)
- **Repository:** <https://github.com/janspoerer/mcp_browser_use>

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

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