Browserbase▌

by browserbase
Unlock browser automation studio with Browserbase MCP Server. Enhance Selenium software testing and AI-driven workflows
Unlock powerful cloud browser automation with Browserbase MCP Server, bridging AI models to web interaction. It enables LLMs to control browsers, capture screenshots, extract structured data, monitor console logs, and perform web navigation effortlessly. Featuring atomic instructions for precise actions and supporting multiple AI models, this server fosters flexible, modular AI workflows. With vision capabilities for annotated screenshots and an open-source approach, it invites collaboration and innovation in AI-driven browser automation. Perfect for building AI-enhanced applications that need seamless web context and dynamic data interaction.
best for
- / AI agents that need to interact with web applications
- / Automated web scraping and data extraction workflows
- / Building AI-powered browser testing tools
- / Creating chatbots that can browse and analyze websites
capabilities
- / Control browsers remotely through cloud infrastructure
- / Take screenshots and capture visual data from web pages
- / Extract structured information from websites
- / Perform automated web navigation and interactions
- / Monitor console logs and debug information
- / Execute precise atomic browser actions
what it does
Provides cloud browser automation capabilities that let AI models control web browsers, take screenshots, extract data, and perform automated web actions through Browserbase.
about
Browserbase is an official MCP server published by browserbase that provides AI assistants with tools and capabilities via the Model Context Protocol. Unlock browser automation studio with Browserbase MCP Server. Enhance Selenium software testing and AI-driven workflows It is categorized under browser automation.
how to install
You can install Browserbase in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
Apache-2.0
Browserbase is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
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. It enables LLMs to interact with web pages, take screenshots, extract information, and perform automated actions with atomic precision.
What's New in Stagehand v3
Powered by Stagehand v3.0, this MCP server now includes:
- 20-40% Faster Performance: Speed improvements across all core operations (
act,extract,observe) through automatic caching - Enhanced Extraction: Targeted extraction and observation across iframes and shadow roots
- Improved Schemas: Streamlined extract schemas for more intuitive data extraction
- Advanced Selector Support: CSS selector support with improved element targeting
- Multi-Browser Support: Compatible with Playwright, Puppeteer, and Patchright
- New Primitives: Built-in
page,locator,frameLocator, anddeepLocatorfor simplified automation - Experimental Features: Enable cutting-edge capabilities with the
--experimentalflag
For more details, visit the Stagehand v3 documentation.
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 |
| High Performance | 20-40% faster operations with automatic caching (v3) |
| Advanced Selectors | Enhanced CSS selector support for precise element targeting |
How to Setup
Quickstarts:
Add to Cursor
Copy and Paste this link in your Browser:
cursor://anysphere.cursor-deeplink/mcp/install?name=browserbase&config=eyJjb21tYW5kIjoibnB4IEBicm93c2VyYmFzZWhxL21jcCIsImVudiI6eyJCUk9XU0VSQkFTRV9BUElfS0VZIjoiIiwiQlJPV1NFUkJBU0VfUFJPSkVDVF9JRCI6IiIsIkdFTUlOSV9BUElfS0VZIjoiIn19
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.

If your client supports SHTTP:
{
"mcpServers": {
"browserbase": {
"type": "http",
"url": "your-smithery-url.com"
}
}
}
If your client doesn't support SHTTP:
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": ["mcp-remote", "your-smithery-url.com"]
}
}
}
STDIO:
You can either use our Server hosted on NPM or run it completely locally by cloning this repo.
❗️ 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:
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": ["@browserbasehq/mcp-server-browserbase"],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
}
}
}
That's it! Reload your MCP client and Claude will be able to use Browserbase.
To run 100% local:
Option 1: Direct installation
# 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
Option 2: Docker
# Clone the Repo
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase
# Build the Docker image
docker build -t mcp-browserbase .
Then in your MCP Config JSON run the server. To run locally we can use STDIO or self-host SHTTP.
STDIO:
Using Direct Installation
To your MCP Config JSON file add the following:
{
"mcpServers": {
"browserbase": {
"command": "node",
"args": ["/path/to/mcp-server-browserbase/cli.js"],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
}
}
}
Using Docker
To your MCP Config JSON file add the following:
{
"mcpServers": {
"browserbase": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"BROWSERBASE_API_KEY",
"-e",
"BROWSERBASE_PROJECT_ID",
"-e",
"GEMINI_API_KEY",
"mcp-browserbase"
],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
}
}
}
Then reload your MCP client and you should be good to go!
Configuration
The Browserbase MCP server accepts the following command-line flags:
| Flag | Description |
|---|---|
--proxies | Enable Browserbase proxies for the session |
--advancedStealth | Enable Browserbase Advanced Stealth (Only for Scale Plan Users) |
--keepAlive | Enable Browserbase Keep Alive Session |
--contextId <contextId> | Specify a Browserbase Context ID to use |
--persist | Whether to persist the Browserbase context (default: true) |
--port <port> | Port to listen on for HTTP/SHTTP transport |
--host <host> | Host to bind server to (default: localhost, use 0.0.0.0 for all interfaces) |
--browserWidth <width> | Browser viewport width (default: 1024) |
--browserHeight <height> | Browser viewport height (default: 768) |
--modelName <model> | The model to use for Stagehand (default: gemini-2.0-flash) |
--modelApiKey <key> | API key for the custom model provider (required when using custom models) |
--experimental | Enable experimental features (default: false) |
These flags can be passed directly to the CLI or configured in your MCP configuration file.
NOTE:
Currently, these flags can only be used with the local server (npx @browserbasehq/mcp-server-browserbase or Docker).
Using Configuration Flags with Docker
When using Docker, you can pass configuration flags as additional arguments after the image name. Here's an example with the --proxies flag:
{
"mcpServers": {
"browserbase": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"BROWSERBASE_API_KEY",
"-e",
"BROWSERBASE_PROJECT_ID",
"-e",
"GEMINI_API_KEY",
"mcp-browserbase",
"--proxies"
],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
}
}
}
You can also run the Docker container directly from the command line:
docker run --rm -i \
-e BROWSERBASE_API_KEY=your_api_key \
-e BROWSERBASE_PROJECT_ID=your_project_id \
-e GEMINI_API_KEY=your_gemini_key \
mcp-browserbase --proxies
Configuration Examples
Proxies
Here are our docs on Proxies.
To use proxies, set the --proxies flag in your MCP Config:
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": ["@browserbasehq/mcp-server-browserbase", "--proxies"],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
}
}
}
Advanced Stealth
Here are our docs on Advanced Stealth.
To use advanced stealth, set the --advancedStealth flag in your MCP Config:
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": ["@browserbasehq/mcp-server-browserbase", "--advancedStealth"],
"env": {
"BROWSERBASE_API_KEY": "",
"BROWSERBASE_PROJECT_ID": "",
"GEMINI_API_KEY": ""
}
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