ImRonAI Mcp Server Browserbase

ai.smithery由 smithery.ai 發布官方發布者v2.0.0更新於 Oct 24, 2026

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

發布方自己的服務：222wcnm Bilistalkermcp

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取瀏覽器自動化

概覽

AI 產生的概覽

以 Browserbase 與 Stagehand 為基礎的雲端瀏覽器自動化伺服器，讓助理瀏覽網站、點擊元素、填寫表單、截圖並擷取結構化資料。

可以做什麼
  • 瀏覽並操作網頁：開啟網站、點擊元素、填寫表單
  • 從網頁擷取結構化資料
  • 擷取整頁與元素截圖，並以截圖資源形式提供
  • 管理瀏覽器工作階段，支援平行多工作階段與情境持續保存
  • 透過 Stagehand 以自然語言指令執行自動化，並可切換模型
適用情境
適合需要助理在雲端真實瀏覽器中操作網站的情境，例如填寫表單、走完多步驟流程、截圖，或從需要互動的頁面擷取結構化內容，而不只是讀取靜態頁面。
執行需求
遠端端點位於 server.smithery.ai，需在 Authorization 標頭提供 bearer 權杖。本機 npm 版本需要 Node.js，並設定環境變數 BROWSERBASE_API_KEY、BROWSERBASE_PROJECT_ID 與 GEMINI_API_KEY；使用自訂模型還需 --modelApiKey。需要 Browserbase 帳號。
安裝前請注意
遠端端點需要 Smithery 的 bearer 權杖（Authorization 標頭）。本機版本需要 Browserbase 與模型供應商的 API 金鑰，自訂模型須透過 --modelApiKey 提供自己的金鑰。助理可在真實網站上點擊、填寫並送出資料，情境持續保存會跨工作階段保留登入狀態。進階隱匿等功能僅限付費方案。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 ImRonAI Mcp Server Browserbase，將其新增到工作區。
  2. 連接 Authorization token 憑證。它們會被私密儲存，絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.smithery%2FImRonAI-mcp-server-browserbase/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

來源：README.md，提交 81377bb

工具

0
SourceWeft 尚未讀取此伺服器的工具。

版本歷史

1
  1. v2.0.0最新Sep 16, 2026

評分

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