This project provides a server for LLM applications to control web browsers, enabling AI agents to interact with websites, extract data, and perform actions. It targets developers building AI-powered tools, chat interfaces, and custom workflows, offering a standardized way to connect LLMs with web-based context.

How It Works

The server leverages Browserbase, Puppeteer, and Stagehand to provide cloud browser automation. It allows LLMs to navigate web pages, capture screenshots, execute JavaScript, and extract structured data. Stagehand MCP specifically enables atomic instructions for precise web interactions and supports multiple LLM models, including vision capabilities via annotated screenshots.

Quick Start & Requirements

• Installation: Not explicitly detailed in the README, but implies using Browserbase or Stagehand MCP components.
• Prerequisites: Cloud browser automation capabilities, Puppeteer, Stagehand. Specific LLM model requirements (e.g., OpenAI, Anthropic) are mentioned for Stagehand.
• Resources: Cloud browser environment required.
• Links: Browserbase MCP: browserbase/, Stagehand MCP: stagehand/

Highlighted Details

• Enables LLMs to control cloud browsers for web interaction.
• Supports data extraction, screenshots, and JavaScript execution.
• Stagehand MCP offers atomic instructions and vision support via annotated screenshots.
• Compatible with multiple LLM models like GPT-4 and Claude-3.7 Sonnet.

Maintenance & Community

• Community: Slack community mentioned for support.
• Links: Discord/Slack not provided.

Licensing & Compatibility

• License: Not specified in the README.
• Compatibility: Designed for integration with LLM applications.

Limitations & Caveats

The README does not detail specific installation instructions or licensing information, which are crucial for adoption. The exact setup process and resource requirements for the server itself are not clearly outlined.