What is Browserbase?

Browserbase is an MCP (Model Context Protocol) server that provides cloud browser automation capabilities, enabling LLMs to interact with web pages, take screenshots, and execute JavaScript in a cloud environment. It integrates with Stagehand for advanced web automation.

How to use Browserbase?

1. Configure the MCP server with Browserbase or Stagehand MCP (located in browserbase/ or stagehand/ directories).
2. Use the server to automate browser interactions, extract data, or monitor web pages.
3. Choose between Browserbase MCP (for traditional automation) or Stagehand MCP (for atomic instructions and model flexibility).
4. Refer to the Getting Started guide for detailed setup.

Key features of Browserbase

• Browser Automation: Control cloud browsers for navigation, clicking, and form filling.
• Data Extraction: Pull structured data from any webpage.
• Console Monitoring: Track and analyze browser logs.
• Screenshots: Capture full-page or element-specific images.
• Stagehand Integration: Atomic instructions (act, extract) and vision support for complex DOMs.
• Model Flexibility: Works with OpenAI’s GPT-4, Anthropic’s Claude-3.7 Sonnet, and more.

Use cases of Browserbase

1. Automating customer support workflows by extracting live data from FAQs or product pages.
2. Building AI-powered research tools that scrape and analyze real-time web content.
3. Enhancing IDEs with web-based documentation lookup and code snippet extraction.
4. Generating visual reports with annotated screenshots.

FAQ from Browserbase

• Does Browserbase support headless browsing?

  Yes, all browser interactions can run in headless mode for efficiency.

• Can I use custom models with Stagehand?

  Yes, Stagehand’s modular design allows integration with most LLM APIs.

• Is there a free tier?

  Browserbase offers limited free credits for new users (check pricing).

• How does it compare to Playwright MCP?

  Browserbase focuses on cloud-native automation, while Playwright’s MCP is library-based.

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 and Stagehand. 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 MCP 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
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-3.7 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

Smithery

Credits

Huge thanks and shoutout to the Playwright team for their contributions to the framework, and their work on the Playwright MCP Server