Automate cloud browsers to navigate websites, interact with elements, and extract structured data.…
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"browserbase": {
"url": "your-smithery-url.com"
}
}
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@browserbasehq/mcp-server-browserbase' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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Malicious code in @browserbasehq/mcp-server-browserbase (npm)
--- _-= Per source details. Do not edit below this line.=-_ ## Source: amazon-inspector (59c07fb8ebd39670ff0a8c67a71dc45872c40e94a70a4100940576791f12cd66) The package @browserbasehq/mcp-server-browserbase was found to contain malicious code. ## Source: google-open-source-security (571a63036ef8332bc8227debf85d750c083b08a0adb2d8274e0e78b3d6688ef6) This package was compromised by the Sha1-Hulud: The Second Coming NPM worm. The malicious payload steals tokens and credentials and publishes them to
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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.
| 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 |
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.
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": {
"url": "your-smithery-url.com"
}
}
}
If your client doesn't support SHTTP:
{
"mcpServers": {
"browserbase": {
"command": "npx",
"args": ["mcp-remote", "your-smithery-url.com"]
}
}
}
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.
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.
# 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