Browserbase
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Integrates Browserbase's headless browser capabilities with large language models (LLMs) via the Model Context Protocol (MCP).
About
This tool serves as an MCP server, enabling LLM applications to seamlessly interact with real web browsers through Browserbase. It provides a standardized way for AI models to access, navigate, and extract information from web pages, enhancing AI workflows by giving LLMs dynamic web context. Users can configure sessions with advanced features like proxies, stealth mode, persistent contexts, and custom cookie injection, making it ideal for building intelligent agents that require robust web interaction capabilities.
Key Features
- Direct cookie management (add, get, delete) for fine-grained control
- 0 GitHub stars
- Support for Browserbase features including proxies and advanced stealth mode
- Seamless integration of Browserbase with LLM applications via MCP
- Persistent browser sessions through Contexts for maintaining login states and cache
- Configurable browser viewport sizing
Use Cases
- Building AI-powered IDEs with web interaction capabilities
- Enhancing chat interfaces to fetch real-time web data
- Creating custom AI workflows that require programmatic web browsing and data extraction
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