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MCP serverOfficial registry

ImRonAI MCP Server Browserbase

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

by ai.smitheryv2.0.0GitHubnpm
接入你的智能体

添加此服务器

The publisher's own URL. Not a PlugMCP endpoint.

Server URL
https://server.smithery.ai/@ImRonAI/mcp-server-browserbase/mcp
Provider
Claude Code
claude mcp add --transport http ai.smithery-imronai-mcp-server-browserbase https://server.smithery.ai/@ImRonAI/mcp-server-browserbase/mcp

Run in a terminal.

Claude Desktop
{
  "mcpServers": {
    "ai.smithery-imronai-mcp-server-browserbase": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://server.smithery.ai/@ImRonAI/mcp-server-browserbase/mcp"
      ]
    }
  }
}

claude_desktop_config.json

Step-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

在 PlugMCP 上运行

用我们的密钥与日志托管一份副本。

这是你新建的服务器,不是此条目的官方端点。若要用发布方的 URL 与凭证,请使用上方安装面板。

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  • Context7

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  • 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

    1. 01AI-Powered Automation: Natural language commands for web interactions
    2. 02Multi-Model Support: Works with OpenAI, Claude, Gemini, and more
    3. 03Advanced Session Management: Single and multi-session support for parallel browser automation
    4. 04Screenshot Capture: Full-page and element-specific screenshots
    5. 05Data Extraction: Intelligent content extraction from web pages
    6. 06Proxy Support: Enterprise-grade proxy capabilities
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    Browserbase MCP Server

    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.

    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
    Multi-SessionRun multiple browser sessions in parallel

    How to Setup

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    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.

    Smithery Image

    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:

    # 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.

    STDIO:

    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": ""
          }
        }
      }
    }
    

    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 <contextId>Specify a Browserbase Context ID to use
    --persistWhether 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: google/gemini-2.0-flash)
    --modelApiKey <key>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).

    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
    • 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
    • Proxy Support: Enterprise-grade proxy capabilities
    • Stealth Mode: Advanced anti-detection features
    • Context Persistence: Maintain authentication and state across sessions
    • Parallel Workflows: Run multiple browser sessions simultaneously for complex automation tasks

    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.