# Browserbase Web Automation Server

> Use this tool when you need to automate web browsing tasks with AI-powered natural language commands, enabling seamless navigation, data extraction, and screenshot capture across multiple cloud browser sessions. It solves problems related to web scraping, automation, and data collection, providing advanced stealth and proxy support for robust workflows. Ideal for use cases requiring automated browser interaction, data extraction, and workflow management, with inputs including natural language commands and outputs including extracted data and screenshots.

Canonical page: https://skillsregistry.net/skills/ai-zebra-mcp-server-browserbase  
JSON: https://api.skillsregistry.net/v1/skills/ai-zebra-mcp-server-browserbase

## Description

Enable AI-powered web browser automation with natural language commands. Control cloud browsers to navigate, interact, extract data, and capture screenshots seamlessly. Manage multiple sessions with advanced stealth and proxy support for robust automation workflows.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/AI-Zebra/mcp-server-browserbase)

## 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": "ai-zebra-mcp-server-browserbase"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-zebra-mcp-server-browserbase` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-zebra-mcp-server-browserbase/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