Browserbase
by Browserbase
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.</br>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.Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
What is Browserbase
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. 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 |
| 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-3.7 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
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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