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.

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

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": {
      "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)
--cookies [json]	JSON array of cookies to inject into the browser
--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": ""
      }
    }
  }
}

Contexts

Here are our docs on Contexts

To use contexts, set the --contextId flag in your MCP Config:

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": [
        "@browserbasehq/mcp-server-browserbase",
        "--contextId",
        "<YOUR_CONTEXT_ID>"
      ],
      "env": {
        "BROWSERBASE_API_KEY": "",
        "BROWSERBASE_PROJECT_ID": "",
        "GEMINI_API_KEY": ""
      }
    }
  }
}

Browser Viewport Sizing

The default viewport sizing for a browser session is 1024 x 768. You can adjust the Browser viewport sizing with browserWidth and browserHeight flags.

Here's how to use it for custom browser sizing. We recommend to stick with 16:9 aspect ratios (ie: 1920 x 1080, 1280 x 720, 1024 x 768)

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": [
        "@browserbasehq/mcp-server-browserbase",
        "--browserHeight 1080",
        "--browserWidth 1920"
      ],
      "env": {
        "BROWSERBASE_API_KEY": "",
        "BROWSERBASE_PROJECT_ID": "",
        "GEMINI_API_KEY": ""
      }
    }
  }
}

Model Configuration

Stagehand defaults to using Google's Gemini 2.0 Flash model, but you can configure it to use other models like GPT-4o, Claude, or other providers.

Important: When using any custom model (non-default), you must provide your own API key for that model provider using the --modelApiKey flag.

Here's how to configure different models:

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": [
        "@browserbasehq/mcp-server-browserbase",
        "--modelName",
        "anthropic/claude-3-5-sonnet-latest",
        "--modelApiKey",
        "your-anthropic-api-key"
      ],
      "env": {
        "BROWSERBASE_API_KEY": "",
        "BROWSERBASE_PROJECT_ID": ""
      }
    }
  }
}

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:

1. 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
• Screenshot Capture: Full-page and element-specific screenshots
• Data Extraction: Intelligent content extraction from web pages
• Proxy Support: Enterprise-grade proxy capabilities
• Stealth Mode: Advanced anti-detection features
• Context Persistence: Maintain authentication and state across sessions

For more information about the Model Context Protocol, visit:

• MCP Documentation
• MCP Specification

For the official MCP Docs:

• Browserbase MCP

License

Licensed under the Apache 2.0 License.

Copyright 2025 Browserbase, Inc.