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Browserbase MCP Server
What is Browserbase MCP Server
The Model Context Protocol (MCP) is an open protocol designed to facilitate the integration of LLM applications with external data sources and tools, enabling developers to connect LLMs with essential context effortlessly.
Use cases
MCP can be utilized in various applications, including AI-powered integrated development environments (IDEs), enhanced chat interfaces, and custom AI workflows, making it versatile for different AI-related tasks.
How to use
To get started with the Browserbase MCP, developers can refer to the provided documentation for both Browserbase and Stagehand MCP. The documentation includes setup instructions, API references, and examples for implementing browser automation and interaction capabilities.
Key features
Key features include cloud browser automation, data extraction from web pages, screenshot capabilities, console monitoring, and easy web interaction such as clicking and form filling, allowing for comprehensive control over web environments.
Where to use
MCP can be applied in cloud browser automation environments or anywhere LLMs need to interact with real-time web content, making it suitable for web scraping, automated testing, and dynamic content interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Browserbase MCP Server
The Model Context Protocol (MCP) is an open protocol designed to facilitate the integration of LLM applications with external data sources and tools, enabling developers to connect LLMs with essential context effortlessly.
Use cases
MCP can be utilized in various applications, including AI-powered integrated development environments (IDEs), enhanced chat interfaces, and custom AI workflows, making it versatile for different AI-related tasks.
How to use
To get started with the Browserbase MCP, developers can refer to the provided documentation for both Browserbase and Stagehand MCP. The documentation includes setup instructions, API references, and examples for implementing browser automation and interaction capabilities.
Key features
Key features include cloud browser automation, data extraction from web pages, screenshot capabilities, console monitoring, and easy web interaction such as clicking and form filling, allowing for comprehensive control over web environments.
Where to use
MCP can be applied in cloud browser automation environments or anywhere LLMs need to interact with real-time web content, making it suitable for web scraping, automated testing, and dynamic content interaction.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
Credits
Huge thanks and shoutout to the Playwright team for their contributions to the framework, and their work on the Playwright MCP Server
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.