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MCP Browser Agent

@yubao2000

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

yubao2000

提交者

yubao2000

关于 MCP Browser Agent

让 AI Agent（Claude/ChatGPT/Codex）像人一样操作浏览器。36个工具：截图、点击、填表、提取、PDF导出、签页管理、Cookie持久化、批量自动化。开源免费，npm 全局安装即用。

#mcp-browser-agent#browser-automation

MCP Browser Agent 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "browser-agent": {
      "command": "mcp-browse-agent",
      "args": []
    }
  }
}

MCP Browser Agent 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Mcp Browser Agent?

A Model Context Protocol (MCP) server that enables AI agents (such as Claude or GPT) to control a browser like a human. It provides a set of tools for navigation, interaction, data extraction, and tab management, making it suitable for developers who want to automate browser tasks through AI assistants.

How to use Mcp Browser Agent?

Install the package globally via npm (npm install -g @yubao2000/mcp-browser-agent), then start the server with the command mcp-browse-agent. Configure it in supporting MCP clients (Claude Desktop, Cursor, or OpenAI Codex) by adding a new server entry pointing to the same command. A configuration file .mcp-browser.json can be used to set options like viewport, headless mode, and data directory.

Key features of Mcp Browser Agent

  • 30 tools for navigation, clicking, filling forms, and scrolling
  • Extract text, HTML, screenshots, and PDFs from pages
  • Manage tabs: open, switch, close, and iframe contexts
  • Execute custom JavaScript and retrieve console logs
  • Cookie persistence for maintaining login sessions
  • Optional visible browser window for debugging or manual intervention

Use cases of Mcp Browser Agent

  • Automate web form filling and login workflows with AI
  • Scrape structured data from multiple pages and export results
  • Monitor website changes by capturing periodic screenshots
  • Test web application behavior by simulating user actions
  • Perform research tasks that require multi-step browsing (e.g., search, extract, navigate)

常见问题

1

What are the system requirements?

Node.js version 18 or higher is required. The server runs headless by default but can display a browser window when configured.

2

How are cookies managed?

Cookies are automatically saved to `./.browser-data/cookies.json` and restored on restart, allowing sessions to persist across agent runs.

3

Can I see what the AI is doing in the browser?

Yes. Set the environment variable `SHOW_BROWSER=true` or add `"showBrowser": true` to `.mcp-browser.json` to make the browser window visible for debugging, captcha handling, or demos.

4

Does the server support concurrent browser instances?

The free version supports one concurrent tab; the Pro version (upcoming, $9.9/month) supports up to 10 concurrent tabs along with batch automation and encrypted cookie backups.

5

Where does browser data (cookies, profiles) get stored?

By default, data is stored in the `./.browser-data` directory. This location can be changed via the `dataDir` configuration option or `BROWSER_DATA_DIR` environment variable.

评论

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