mcp-server-browserbase

# Browserbase MCP Server  [The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) 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](https://www.browserbase.com/), [Puppeteer](https://pptr.dev/), and [Stagehand](https://github.com/browserbase/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](./browserbase/README.md) or [Stagehand MCP](./stagehand/README.md). ## Getting Started with available MCPs 🌐 **Browserbase MCP** - Located in [`browserbase/`](./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/`](./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](https://join.slack.com/t/stagehand-dev/shared_invite/zt-2uvuobu50-~wVSx2Si75CPa3332hwVEw) for support | ### Alternative Installation Methods [Smithery](https://smithery.ai/server/@browserbasehq/mcp-browserbase)