# MoltBrowser

> Use this tool when you need to automate web browser interactions, extract content, or execute JavaScript on web pages. It solves problems such as data scraping, automated testing, and workflow automation by providing a programmable interface for navigating web pages, filling forms, and taking screenshots. With support for headless and visible modes, it offers flexible inputs and outputs for various automation tasks.

Canonical page: https://skillsregistry.net/skills/joakim-sael-moltbrowser  
JSON: https://api.skillsregistry.net/v1/skills/joakim-sael-moltbrowser

## Description

A Playwright-based browser automation MCP server with an integrated community hub. Provides tools for navigating web pages, taking screenshots, extracting content, filling forms, and executing JavaScript. Includes a script sharing platform at webmcp-hub.com where users can discover and contribute reusable automation workflows. Supports both headless and visible browser modes with configurable viewport and timeout settings.

## 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/joakim-sael-moltbrowser)
- **Repository:** <https://github.com/joakim-sael/moltbrowser>

## 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": "joakim-sael-moltbrowser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joakim-sael-moltbrowser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joakim-sael-moltbrowser/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
