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    Mcp Server Browserbase

    Allow LLMs to control a browser with Browserbase and Stagehand for the Model Context Protocol. Enhance AI assistants with powerful integrations.

    2,729 stars
    TypeScript
    Updated Oct 16, 2025
    ai
    browser
    chrome
    chromium
    mcp
    playwright
    puppeteer

    Documentation

    Browserbase MCP Server

    smithery badge

    cover

    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, and deepLocator for simplified automation
    • Experimental Features: Enable cutting-edge capabilities with the --experimental flag

    For more details, visit the Stagehand v3 documentation.

    Features

    FeatureDescription
    Browser AutomationControl and orchestrate cloud browsers via Browserbase
    Data ExtractionExtract structured data from any webpage
    Web InteractionNavigate, click, and fill forms with ease
    ScreenshotsCapture full-page and element screenshots
    Model FlexibilitySupports multiple models (OpenAI, Claude, Gemini, and more)
    Vision SupportUse annotated screenshots for complex DOMs
    Session ManagementCreate, manage, and close browser sessions
    High Performance20-40% faster operations with automatic caching (v3)
    Advanced SelectorsEnhanced CSS selector support for precise element targeting

    How to Setup

    Quickstarts:

    Add to Cursor

    Copy and Paste this link in your Browser:

    text
    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.

    Smithery Image

    If your client supports SHTTP:

    json
    {
      "mcpServers": {
        "browserbase": {
          "url": "your-smithery-url.com"
        }
      }
    }

    If your client doesn't support SHTTP:

    json
    {
      "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:

    json
    {
      "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

    bash
    # 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

    bash
    # 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:

    json
    {
      "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:

    json
    {
      "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:

    FlagDescription
    --proxiesEnable Browserbase proxies for the session
    --advancedStealthEnable Browserbase Advanced Stealth (Only for Scale Plan Users)
    --keepAliveEnable Browserbase Keep Alive Session
    --contextId Specify a Browserbase Context ID to use
    --persistWhether to persist the Browserbase context (default: true)
    --port Port to listen on for HTTP/SHTTP transport
    --host Host to bind server to (default: localhost, use 0.0.0.0 for all interfaces)
    --browserWidth Browser viewport width (default: 1024)
    --browserHeight Browser viewport height (default: 768)
    --modelName The model to use for Stagehand (default: gemini-2.0-flash)
    --modelApiKey API key for the custom model provider (required when using custom models)
    --experimentalEnable 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:

    json
    {
      "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:

    bash
    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:

    json
    {
      "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:

    json
    {
      "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:

    json
    {
      "mcpServers": {
        "browserbase": {
          "command": "npx",
          "args": [
            "@browserbasehq/mcp-server-browserbase",
            "--contextId",
            ""
          ],
          "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)

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

    Experimental Features

    Stagehand v3 includes experimental features that can be enabled with the --experimental flag. These features provide cutting-edge capabilities that are actively being developed and refined.

    To enable experimental features:

    json
    {
      "mcpServers": {
        "browserbase": {
          "command": "npx",
          "args": ["@browserbasehq/mcp-server-browserbase", "--experimental"],
          "env": {
            "BROWSERBASE_API_KEY": "",
            "BROWSERBASE_PROJECT_ID": "",
            "GEMINI_API_KEY": ""
          }
        }
      }
    }

    _Note: Experimental features may change or be removed in future releases. Use them at your own discretion._

    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:

    json
    {
      "mcpServers": {
        "browserbase": {
          "command": "npx",
          "args": [
            "@browserbasehq/mcp-server-browserbase",
            "--modelName",
            "anthropic/claude-sonnet-4.5",
            "--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://)

    • 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.

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