AI-Powered Automation: Natural language commands for web interactions. Multi-Model Support: Works with OpenAI, Claude, Gemini, and more. Advanced Session Management: Single and multi-session support for parallel browser automation
AI-Powered Automation: Natural language commands for web interactions. Multi-Model Support: Works with OpenAI, Claude, Gemini, and more. Advanced Session Management: Single and multi-session support for parallel browser automation
Key features
01AI-Powered Automation: Natural language commands for web interactions
02Multi-Model Support: Works with OpenAI, Claude, Gemini, and more
03Advanced Session Management: Single and multi-session support for parallel browser automation
04Screenshot Capture: Full-page and element-specific screenshots
05Data Extraction: Intelligent content extraction from web pages
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. It enables LLMs to interact with web pages, take screenshots, extract information, and perform automated actions with atomic precision.
Features
Feature
Description
Browser Automation
Control and orchestrate cloud browsers via Browserbase
Data Extraction
Extract structured data from any webpage
Web Interaction
Navigate, click, and fill forms with ease
Screenshots
Capture full-page and element screenshots
Model Flexibility
Supports multiple models (OpenAI, Claude, Gemini, and more)
Vision Support
Use annotated screenshots for complex DOMs
Session Management
Create, manage, and close browser sessions
Multi-Session
Run multiple browser sessions in parallel
How to Setup
No FAQ yet. Enrichment fills this from the README on the next crawl.
No tool list yet. Remote servers get one after the first health check.
We currently support 2 transports for our MCP server, STDIO and SHTTP. We recommend you use SHTTP with our remote hosted url to take advantage of the server at full capacity.
SHTTP:
To use the Browserbase MCP Server through our remote hosted URL, add the following to your configuration.
Go to smithery.ai and enter your API keys and configuration to get a remote hosted URL.
When using our remote hosted server, we provide the LLM costs for Gemini, the best performing model in Stagehand.
You can either use our Server hosted on NPM or run it completely locally by cloning this repo.
βοΈ Important: If you want to use a different model you have to add --modelName to the args and provide that respective key as an arg. More info below.
To run on NPM (Recommended)
Go into your MCP Config JSON and add the Browserbase Server:
That's it! Reload your MCP client and Claude will be able to use Browserbase.
To run 100% local:
# Clone the Repo
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase
# Install the dependencies and build the project
npm install && npm run build
Then in your MCP Config JSON run the server. To run locally we can use STDIO or self-host SHTTP.
Note: The model must be supported in Stagehand. Check out the docs here. When using any custom model, you must provide your own API key for that provider.
Resources
The server provides access to screenshot resources:
Screenshots (screenshot://<screenshot-name>)
PNG images of captured screenshots
Key Features
AI-Powered Automation: Natural language commands for web interactions
Multi-Model Support: Works with OpenAI, Claude, Gemini, and more
Advanced Session Management: Single and multi-session support for parallel browser automation
Screenshot Capture: Full-page and element-specific screenshots
Data Extraction: Intelligent content extraction from web pages
