# Browser Automation

> Use this tool when you need to automate web browsing tasks, such as extracting content or interacting with web pages, to solve problems like web scraping, content analysis, and automated testing. It provides a browser automation interface that enables AI systems to programmatically navigate websites through inputs like URLs and commands, and outputs extracted content and interaction results. Ideal for use cases where automated web interaction is required, such as data mining or quality assurance workflows.

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

## Description

Hyper MCP Browser provides a browser automation interface for AI assistants, enabling web browsing capabilities through Puppeteer and Chrome. Built with TypeScript and the Model Context Protocol SDK, it allows AI systems to programmatically navigate websites, extract content, and interact with web pages. The implementation uses a stdio server transport for communication and includes evaluation modules for handling different content types, making it particularly useful for web scraping, content analysis, and automated testing workflows.

## Trust

- **Trust score (0–1):** 0.94
- **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/bigsweetpotatostudio-browser-automation)
- **Repository:** <https://github.com/bigsweetpotatostudio/hyper-mcp-browser>

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

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