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Browserbase MCP Server

Developer ToolsModerate6.9MCP RegistryLocal
Free

Server data from the Official MCP Registry

MCP server for AI web browser automation using Browserbase and Stagehand

About

MCP server for AI web browser automation using Browserbase and Stagehand

Security Report

6.9
Moderate6.9Moderate Risk

Valid MCP server (3 strong, 3 medium validity signals). 1 code issue detected. 3 known CVEs in dependencies (0 critical, 3 high severity) ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved). 2 finding(s) downgraded by scanner intelligence.

10 files analyzed · 5 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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What You'll Need

Set these up before or after installing:

Your Browserbase API keyRequired

Environment variable: BROWSERBASE_API_KEY

Your Browserbase Project IDOptional

Environment variable: BROWSERBASE_PROJECT_ID

Your Gemini API key (default model)Required

Environment variable: GEMINI_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-browserbase-mcp-server-browserbase": {
      "env": {
        "GEMINI_API_KEY": "your-gemini-api-key-here",
        "BROWSERBASE_API_KEY": "your-browserbase-api-key-here",
        "BROWSERBASE_PROJECT_ID": "your-browserbase-project-id-here"
      },
      "args": [
        "-y",
        "@browserbasehq/mcp-server-browserbase"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Browserbase MCP Server

Archived

This repository is archived and no longer maintained.

It was originally published as a reference implementation and is retained for historical purposes. It should not be interpreted as representative of Browserbase's current production services or implementation.

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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, extract information, and perform automated actions.

This is a self-hostable version of the Browserbase hosted MCP server with the same tools and functionality. We recommend using the hosted version for the easiest setup.

Tools

This server exposes 6 tools that match the hosted Browserbase MCP server:

ToolDescriptionInput
startCreate or reuse a Browserbase session(none)
endClose the current Browserbase session(none)
navigateNavigate to a URL{ url: string }
actPerform an action on the page{ action: string }
observeObserve actionable elements on the page{ instruction: string }
extractExtract data from the page{ instruction?: string }

How to Setup

We currently support 2 transports for our MCP server, STDIO and SHTTP. We recommend you use SHTTP with our hosted MCP server to take advantage of the server at full capacity.

SHTTP (Hosted MCP):

Use the Browserbase hosted MCP server at https://mcp.browserbase.com/mcp. This is the easiest way to get started -- we host the server and provide the LLM costs for Gemini, the best performing model in Stagehand.

For full setup instructions, see the Browserbase MCP documentation.

If your client supports SHTTP:

{
  "mcpServers": {
    "browserbase": {
      "type": "http",
      "url": "https://mcp.browserbase.com/mcp"
    }
  }
}

If your client doesn't support SHTTP:

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": ["mcp-remote", "https://mcp.browserbase.com/mcp"]
    }
  }
}

STDIO (Self-Hosted):

You can either use our server hosted on NPM or run it completely locally by cloning this repo.

Note: 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 via NPM (Recommended)

Go into your MCP Config JSON and add the Browserbase Server:

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

That's it! Reload your MCP client and you're ready to go.

To run 100% local:

Option 1: Direct installation
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase
npm install && npm run build
Option 2: Docker
git clone https://github.com/browserbase/mcp-server-browserbase.git
cd mcp-server-browserbase
docker build -t mcp-browserbase .

Then in your MCP Config JSON run the server:

Using Direct Installation
{
  "mcpServers": {
    "browserbase": {
      "command": "node",
      "args": ["/path/to/mcp-server-browserbase/cli.js"],
      "env": {
        "BROWSERBASE_API_KEY": "",
        "BROWSERBASE_PROJECT_ID": "",
        "GEMINI_API_KEY": ""
      }
    }
  }
}
Using Docker
{
  "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": ""
      }
    }
  }
}

Configuration

The Browserbase MCP server accepts the following command-line flags:

FlagDescription
--proxiesEnable Browserbase proxies for the session
--verifiedEnable Browserbase Verified Identity (Only for Scale Plan Users)
--advancedStealthDeprecated alias for --verified
--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)
--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-2.5-flash-lite)
--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: These flags can only be used with the self-hosted server (npx @browserbasehq/mcp or Docker).

Model Configuration

Stagehand defaults to using Google's Gemini 2.5 Flash Lite 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.

{
  "mcpServers": {
    "browserbase": {
      "command": "npx",
      "args": [
        "@browserbasehq/mcp",
        "--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.

Links

License

Licensed under the Apache 2.0 License.

Copyright 2025 Browserbase, Inc.

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