ImRonAI Mcp Server Browserbase

ai.smithery由 smithery.ai 发布官方发布者v2.0.0更新于 Oct 24, 2026

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

发布方自己的服务：222wcnm Bilistalkermcp

已验证Streamable HTTP可网页运行网页搜索与抓取浏览器自动化

概览

AI 生成的概览

基于 Browserbase 与 Stagehand 的云端浏览器自动化服务器，让助手浏览网站、点击元素、填写表单、截图并提取结构化数据。

可以做什么
  • 浏览并操作网页：打开站点、点击元素、填写表单
  • 从网页中提取结构化数据
  • 截取整页与元素截图，并以截图资源形式提供
  • 管理浏览器会话，支持并行多会话与上下文持久化
  • 通过 Stagehand 以自然语言指令执行自动化，并可切换模型
适用场景
适合需要助手在云端真实浏览器中操作网站的场景，例如填写表单、走完多步流程、截图，或从需要交互的页面中抓取结构化内容，而不只是读取静态页面。
运行要求
远程端点位于 server.smithery.ai，需在 Authorization 请求头中提供 bearer 令牌。本地 npm 版本需要 Node.js，并设置环境变量 BROWSERBASE_API_KEY、BROWSERBASE_PROJECT_ID 和 GEMINI_API_KEY；使用自定义模型还需 --modelApiKey。需要 Browserbase 账号。
安装前请注意
远程端点需要 Smithery 的 bearer 令牌（Authorization 请求头）。本地版本需要 Browserbase 与模型提供方的 API 密钥，自定义模型须通过 --modelApiKey 提供自己的密钥。助手可在真实网站上点击、填写并提交数据，上下文持久化会跨会话保留登录状态。高级隐身等功能仅限付费套餐。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ImRonAI Mcp Server Browserbase，将其添加到工作区。
  2. 连接 Authorization token 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.smithery%2FImRonAI-mcp-server-browserbase/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

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

README

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.

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.

来源：README.md，提交 81377bb

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v2.0.0最新Sep 16, 2026

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