# Browser Use

> Use this tool when you need to automate browser interactions, capture web content, or analyze web pages without manual intervention. It solves problems such as web scraping, automated testing, and content analysis by providing capabilities like screenshot capture, HTML retrieval, and JavaScript execution. With inputs like custom interaction steps and outputs like console logs, use it in contexts where AI agents require flexible and reliable browser automation.

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

## Description

This MCP server, developed by an unknown author, provides browser automation capabilities for AI agents. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for capturing screenshots, retrieving HTML content, executing JavaScript, and accessing console logs from web pages. The implementation focuses on flexibility and error handling, with features like custom interaction steps and Xvfb support for headless operation. It's particularly useful for AI assistants and applications that need to interact with web content, enabling use cases such as web scraping, automated testing, or content analysis without directly dealing with browser automation complexities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-01

## Source

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

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

---
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