Browser MCP

Browser MCP

Automate your real Chrome browser locally with AI, supporting vision, human-like input, code execution, macros, and watchdogs.

Category
访问服务器

README

Browser MCP

TypeScript MCP server + Chrome extension — automate your real browser with AI (Cursor, Claude, VS Code, Windsurf, …).

Inspired by BrowserMCP/mcp: same architecture (stdio MCP ↔ WebSocket ↔ extension), expanded toolset (vision/SOM, code execution, macros, watchdogs).

┌──────────────────┐   MCP stdio    ┌─────────────────────────┐
│  AI client       │ ─────────────► │  @browser-mcp/mcp       │
│  Cursor / Claude │ ◄───────────── │  (Node.js / TypeScript) │
└──────────────────┘                └───────────┬─────────────┘
                                                │ WebSocket :17373
                                                ▼
                                    ┌─────────────────────────┐
                                    │  Chrome extension (MV3) │
                                    │  your real profile      │
                                    └─────────────────────────┘

No Python. No remote browser farm. Everything runs locally on your machine.

Why this exists

Cloud browser bots Browser MCP
Profile Empty / disposable Your logged-in Chrome
Bot detection Often blocked Real fingerprint / cookies
Stack Mixed Pure TypeScript
Latency Network hop Local WebSocket

Features

  • Vision (Set-of-Mark) — screenshot with numbered interactive elements
  • Human-like input — Bezier mouse paths, typed key delays
  • Code execution — run JS in the page or Node/Playwright on the host
  • Tabs, cookies, storage, network intercept
  • Extract data / PDF
  • Macros — record & replay flows
  • Watchdogs — background condition polling

Repo layout

packages/
  shared/      # WS protocol types (shared by MCP + extension)
  mcp/         # TypeScript MCP server (stdio + WS hub)
  extension/   # Chrome MV3 extension (load unpacked from dist/)

Quick start

1. Install & build

git clone git@github.com:pomoq-dev/browser-mcp.git
cd browser-mcp
npm install
npm run build

2. Load the Chrome extension

  1. Open chrome://extensions
  2. Enable Developer mode
  3. Load unpacked → select packages/extension/dist
  4. Pin the extension

3. Point your AI client at the MCP server

Cursor (~/.cursor/mcp.json) / Claude Desktop / Windsurf:

{
  "mcpServers": {
    "browser-mcp": {
      "command": "node",
      "args": ["/ABSOLUTE/PATH/TO/browser-mcp/packages/mcp/dist/index.js"]
    }
  }
}

See mcp-config.example.json.

4. Connect the tab

  1. Open the page you want to automate
  2. Click the extension icon → Connect (default 127.0.0.1:17373)
  3. Badge turns green ON

The MCP server starts a WebSocket hub on port 17373 and speaks MCP over stdio to the AI client.

Development

npm run build          # shared → mcp → extension
npm start              # run MCP server
npm run dev            # mcp with tsx watch
npm test
npm run typecheck
npm run inspector      # MCP inspector UI
npm run build:extension

Extension watch:

npm run watch -w @browser-mcp/extension

Then reload the extension in Chrome.

Tools (overview)

Navigation & tabs: browser_navigate, browser_get_tabs, browser_new_tab, …

Vision: browser_get_visual_state, browser_get_dom_tree, browser_screenshot

Input: browser_click, browser_type_text, browser_drag_and_drop, browser_hover, …

Code: browser_exec_js_page, browser_run_node_playwright, browser_run_node_script

Session: browser_manage_cookies, browser_manage_storage, browser_intercept_network

Data: browser_extract_data, browser_generate_pdf

Macros & watchdogs: browser_record_macro_*, browser_register_watchdog, …

Full list is exposed via MCP tools/list.

Optional: CDP for Playwright tools

browser_run_node_playwright can attach via Chrome DevTools Protocol:

/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
  --remote-debugging-port=9222 \
  --user-data-dir=/tmp/chrome-mcp-profile

Extension mode already uses your normal profile; CDP is only for heavy host scripts.

Security

The agent gets full control of the connected browser profile (clicks, cookies, arbitrary page JS). Run only with trusted local agents.

Credits

Architecture adapted from BrowserMCP/mcp / Playwright MCP ideas: control the user's browser instead of spawning a disposable one.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选