ImRonAI Mcp Server Browserbase

ai.smitheryPublished by smithery.aiOfficial publisherv2.0.0Updated Oct 24, 2026

Automate cloud browsers to navigate websites, interact with elements, and extract structured data.…

The publisher's own server: 222wcnm Bilistalkermcp

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingBrowser Automation

Overview

AI-generated overview

Cloud browser automation server built on Browserbase and Stagehand, letting an assistant navigate sites, click and fill forms, take screenshots and extract…

What you can do
  • Navigate and interact with web pages: open sites, click elements and fill in forms
  • Extract structured data from web pages
  • Capture full-page and element screenshots, exposed as screenshot resources
  • Manage browser sessions, including parallel multi-session runs and persisted contexts
  • Run natural-language automation steps through Stagehand with a choice of models
When to use it
Useful when an assistant needs to operate real websites in a cloud browser rather than just read static pages: filling forms, walking through multi-step flows, capturing screenshots, or scraping structured content from pages that require interaction.
Requirements
Remote endpoint at server.smithery.ai with a bearer token in the Authorization header. The local npm variant needs Node.js and the environment variables BROWSERBASE_API_KEY, BROWSERBASE_PROJECT_ID and GEMINI_API_KEY; custom models need --modelApiKey. A Browserbase account is implied.
Before you install
The remote endpoint requires a Smithery bearer token in the Authorization header. The local variant asks for Browserbase and model provider API keys, and custom models require your own provider key via --modelApiKey. The assistant can click, fill forms and submit data on live sites, and context persistence keeps authentication state across sessions. Some features (advanced stealth) are limited to paid plans.

Installation

In SourceWeft

  1. Open ImRonAI Mcp Server Browserbase in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.smithery%2FImRonAI-mcp-server-browserbase/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "imronai-browserbase": {
      "type": "http",
      "url": "https://server.smithery.ai/@ImRonAI/mcp-server-browserbase/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

Browserbase MCP Server

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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.

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

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:

bash
# Clone the Repogit clone https://github.com/browserbase/mcp-server-browserbase.gitcd mcp-server-browserbase
# Install the dependencies and build the projectnpm 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:

json
{  "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:

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",        "<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)

json
{  "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:

json
{  "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:

For the official MCP Docs:

License

Licensed under the Apache 2.0 License.

Copyright 2025 Browserbase, Inc.

Source: README.md at commit 81377bb

Tools

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Version history

1
  1. v2.0.0LatestSep 16, 2026

Score

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  • Reached in the last 30 daysRequired25 pts
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  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
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  • Documentation15 pts
  • License10 pts

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