# Browser Use

> Use this tool when you need to automate web browsing tasks, such as navigation, searching, and data extraction, through a unified interface that accepts natural language instructions. It solves problems like complex web interactions and data scraping, providing a simple interface for AI assistants to perform these tasks. The tool accepts natural language inputs and outputs extracted data or performed actions, making it ideal for applications requiring web automation without extensive coding.

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

## Description

Browser Use MCP Server enables AI assistants to automate web browsing tasks through a unified interface. Built on top of the browser-use library and Playwright, it provides a single tool that accepts natural language instructions to perform complex web interactions like navigation, searching, and data extraction. The server supports multiple LLM providers including OpenAI, Anthropic, Google, and others through environment-based configuration, making it particularly valuable for applications requiring web automation capabilities without complex coding.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/pietrozullo-browser-use)
- **Repository:** <https://github.com/pietrozullo/browser-use-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": "pietrozullo-browser-use"
    }
  }
}
```

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