Browserbase Mcp Server Browserbase
What is Browserbase Mcp Server Browserbase
The Browserbase MCP Server is a cloud-based platform that facilitates browser automation and external data integration through the Model Context Protocol (MCP). It leverages tools like Browserbase and Puppeteer to provide capabilities for LLM applications to effectively interact with web pages.
Use cases
This server can be used for a variety of applications, including AI-powered IDEs, chat interfaces, and custom AI workflows that require web page manipulation, data extraction, and application automation. It’s suitable for development, testing, data scraping, and improving user interaction with web services.
How to use
Users can get started by checking the README files in the ‘browserbase/’ and ‘stagehand/’ directories. The platform allows users to invoke browser automation tasks, capture screenshots, extract data, and run JavaScript commands via simple API calls or command-line instructions.
Key features
Key features include browser automation for controlling cloud browsers, data extraction for structured information from web pages, console monitoring for analyzing logs, screenshot capabilities for full pages or specific elements, JavaScript execution for dynamic content manipulation, and easy web interaction for tasks like navigation and form filling.
Where to use
The Browserbase MCP can be utilized in various environments, such as web development workflows, automated testing environments, data scrapers for research, business process automation, and anywhere streamlined interaction with web content is necessary.
Overview
What is Browserbase Mcp Server Browserbase
The Browserbase MCP Server is a cloud-based platform that facilitates browser automation and external data integration through the Model Context Protocol (MCP). It leverages tools like Browserbase and Puppeteer to provide capabilities for LLM applications to effectively interact with web pages.
Use cases
This server can be used for a variety of applications, including AI-powered IDEs, chat interfaces, and custom AI workflows that require web page manipulation, data extraction, and application automation. It’s suitable for development, testing, data scraping, and improving user interaction with web services.
How to use
Users can get started by checking the README files in the ‘browserbase/’ and ‘stagehand/’ directories. The platform allows users to invoke browser automation tasks, capture screenshots, extract data, and run JavaScript commands via simple API calls or command-line instructions.
Key features
Key features include browser automation for controlling cloud browsers, data extraction for structured information from web pages, console monitoring for analyzing logs, screenshot capabilities for full pages or specific elements, JavaScript execution for dynamic content manipulation, and easy web interaction for tasks like navigation and form filling.
Where to use
The Browserbase MCP can be utilized in various environments, such as web development workflows, automated testing environments, data scrapers for research, business process automation, and anywhere streamlined interaction with web content is necessary.
Content
Browserbase MCP Server
The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.
This server provides cloud browser automation capabilities using Browserbase, Puppeteer, and Stagehand (Coming Soon). This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud browser environment.
To learn to get started with Browserbase, check out ‘browserbase/README.md’ or Stagehand MCP.
Getting Started with available MCPs
🌐 Browserbase MCP - Located in browserbase/
| Feature | Description |
|---|---|
| Browser Automation | Control and orchestrate cloud browsers |
| Data Extraction | Extract structured data from any webpage |
| Console Monitoring | Track and analyze browser console logs |
| Screenshots | Capture full-page and element screenshots |
| JavaScript | Execute custom JS in the browser context |
| Web Interaction | Navigate, click, and fill forms with ease |
🤘 Stagehand MCP - Located in stagehand/
| Feature | Description |
|---|---|
| Atomic Instructions | Execute precise actions like act("click the login button") or extract("find the red shoes") |
| Model Flexibility | Supports multiple models, including OpenAI’s GPT-4 and Anthropic’s Claude-3.5 Sonnet |
| Modular Design | Easily integrate new models with minimal changes |
| Vision Support | Use annotated screenshots for complex DOMs |
| Open Source | Contribute to the project and join the Slack community for support |
Alternative Installation Methods