Browserbase MCP Server is a server implementation of the Model Context Protocol (MCP) that enables large language models to interact with web browsers programmatically through cloud-based automation. The project provides a standardized interface for connecting AI systems to real-world web environments, allowing them to navigate pages, extract structured data, and perform user-like actions such as clicking, typing, and form submission. It leverages Browserbase infrastructure along with Stagehand to deliver high-performance browser automation with improved speed and efficiency through caching and optimized execution pipelines. The system supports multiple AI models and integrates seamlessly into agent workflows, making it suitable for applications such as web scraping, testing, and intelligent automation. It also includes advanced capabilities such as screenshot capture, DOM analysis, and session persistence, enabling complex interactions across multiple browsing sessions.
Features
- Cloud-based browser automation controlled by language models
- Data extraction and structured scraping from web pages
- Support for multiple AI models including OpenAI and Claude
- Screenshot capture and visual interaction capabilities
- Session management with persistent authentication and state
- Advanced selectors and DOM interaction for precise automation