Openbrowser AI

Name: Openbrowser AI
Author: billy-enrizky

作者：billy-enrizky版本 0.1.54i★ –i在你的电脑上运行

注册名称me.openbrowser/openbrowser-ai

安装

概览

作者提供的说明（英文原文）

AI browser automation. Write async Python to navigate, click, type, and extract data.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 网页与浏览器

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： OPENBROWSER_HEADLESS, OPENBROWSER_ALLOWED_DOMAINS, OPENBROWSER_USER_DATA_DIR, OPENBROWSER_STORAGE_STATE, OPENBROWSER_COMPACT_DESCRIPTION, OPENBROWSER_MAX_OUTPUT, ANONYMIZED_TELEMETRY

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "openbrowser-ai": {
      "command": "uvx",
      "args": [
        "openbrowser-ai"
      ],
      "env": {
        "OPENBROWSER_HEADLESS": "your-value",
        "OPENBROWSER_ALLOWED_DOMAINS": "your-value",
        "OPENBROWSER_USER_DATA_DIR": "your-value",
        "OPENBROWSER_STORAGE_STATE": "your-value",
        "OPENBROWSER_COMPACT_DESCRIPTION": "your-value",
        "OPENBROWSER_MAX_OUTPUT": "your-value",
        "ANONYMIZED_TELEMETRY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add openbrowser-ai --env OPENBROWSER_HEADLESS=your-value --env OPENBROWSER_ALLOWED_DOMAINS=your-value --env OPENBROWSER_USER_DATA_DIR=your-value --env OPENBROWSER_STORAGE_STATE=your-value --env OPENBROWSER_COMPACT_DESCRIPTION=your-value --env OPENBROWSER_MAX_OUTPUT=your-value --env ANONYMIZED_TELEMETRY=your-value -- uvx openbrowser-ai

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "openbrowser-ai": {
      "command": "uvx",
      "args": [
        "openbrowser-ai"
      ],
      "env": {
        "OPENBROWSER_HEADLESS": "your-value",
        "OPENBROWSER_ALLOWED_DOMAINS": "your-value",
        "OPENBROWSER_USER_DATA_DIR": "your-value",
        "OPENBROWSER_STORAGE_STATE": "your-value",
        "OPENBROWSER_COMPACT_DESCRIPTION": "your-value",
        "OPENBROWSER_MAX_OUTPUT": "your-value",
        "ANONYMIZED_TELEMETRY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "openbrowser-ai": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "openbrowser-ai"
      ],
      "env": {
        "OPENBROWSER_HEADLESS": "your-value",
        "OPENBROWSER_ALLOWED_DOMAINS": "your-value",
        "OPENBROWSER_USER_DATA_DIR": "your-value",
        "OPENBROWSER_STORAGE_STATE": "your-value",
        "OPENBROWSER_COMPACT_DESCRIPTION": "your-value",
        "OPENBROWSER_MAX_OUTPUT": "your-value",
        "ANONYMIZED_TELEMETRY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

OPENBROWSER_HEADLESS env
Run browser in headless mode (true/false)
OPENBROWSER_ALLOWED_DOMAINS env
Comma-separated list of allowed domains (empty for no restrictions)
OPENBROWSER_USER_DATA_DIR env
Optional explicit Chrome profile directory. Omit for an isolated profile per MCP server instance; concurrent owners of one explicit profile are rejected
OPENBROWSER_STORAGE_STATE env
Optional JSON file used as a one-time seed for cookies plus localStorage in managed MCP profiles; later updates are saved to the active profile copy
OPENBROWSER_COMPACT_DESCRIPTION env
Use minimal tool description (~500 tokens instead of ~1,430)
OPENBROWSER_MAX_OUTPUT env
Maximum output characters per code execution (default: 10000)
ANONYMIZED_TELEMETRY env
Enable anonymized usage telemetry (true/false)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

✓ 通过
作者与仓库一致
注册名称已通过域名 openbrowser.me 验证（注册中心会核实域名所有权）
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“网页与浏览器”中的其他服务器比较i

星标数多于此分类中其他 878 个服务器的 0%
发布到注册中心的时间比此分类中其他 878 个服务器的 44% 更新
基础检查结果等于或优于此分类中其他 878 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Openbrowser AI 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.1.54）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Browser Use, Chrome DevTools MCP, MCP Server Browser

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

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在你的电脑上运行★ 54,821Apache-2.015天前更新

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MCP Server Browser

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在你的电脑上运行★ 39,550Apache-2.014个月前更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

OpenBrowser

AI browser automation, powered by code.

Cloud dashboard for saved cookies and scheduled tasks is available in the hosted version. Join the waitlist for early access: https://openbrowser.me :

https://github.com/user-attachments/assets/b17f97f3-f9f8-4707-8e39-abbbbe1a693b

Automating Walmart Product Scraping:

https://github.com/user-attachments/assets/c517c739-9199-47b0-bac7-c2c642a21094

OpenBrowserAI Automatic Flight Booking:

https://github.com/user-attachments/assets/632128f6-3d09-497f-9e7d-e29b9cb65e0f

OpenBrowserAI Automatic Form Filling:

https://github.com/user-attachments/assets/16f7ef1a-beb1-45e2-a733-9592536e0ef7

AI-powered browser automation using CodeAgent and CDP (Chrome DevTools Protocol)

OpenBrowser is a framework for intelligent browser automation. It combines direct CDP communication with a CodeAgent architecture, where the LLM writes Python code executed in a persistent namespace, to navigate, interact with, and extract information from web pages autonomously.

Documentation
Key Features
Installation
Quick Start
Configuration
Supported LLM Providers
Claude Code Plugin
Codex
OpenCode
OpenClaw
MCP Server
Benchmark: Token Efficiency
CLI Usage
Project Structure
Backend and Frontend Deployment
Testing
Research: Reinforcement Fine-Tuning for Browser Agents
Contributing
License
Contact

Documentation

Full documentation: https://docs.openbrowser.me

Key Features

CodeAgent Architecture - LLM writes Python code in a persistent Jupyter-like namespace for browser automation
Raw CDP Communication - Direct Chrome DevTools Protocol for maximum control and speed
Vision Support - Screenshot analysis for visual understanding of pages
15 LLM Providers - OpenAI, Anthropic, Google, Groq, AWS Bedrock, Azure, Ollama, DeepSeek, Cerebras, OpenRouter, OCI, and more
MCP Server - Model Context Protocol for Claude Desktop, Claude Code, Codex, OpenCode, and other AI assistants, with reusable saved login sessions
CLI Daemon - Persistent browser daemon with -c flag for direct code execution from Bash, saved login state, and 10-minute auto-shutdown
Workflow Recording - Record, replay, and export browser sessions to Jupyter notebooks or API crawler code
Video Recording - Record browser sessions as video files with ffmpeg
Cloud Platform - Full-stack web UI with real-time VNC streaming, saved logins (KMS-encrypted), scheduled workflows (EventBridge + SQS), and email notifications (SES)
Plugin System - Claude Code plugin with 7 guided skills (deep research, web scraping, form filling, e2e testing, page analysis, accessibility audit, file download)

Installation

Quick install (macOS / Linux)

curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh

Quick install (Windows PowerShell)

irm https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.ps1 | iex

Detects uv, pipx, or pip and installs OpenBrowser automatically.

Install to ~/.local/bin without sudo:

curl -fsSL https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/main/install.sh | sh -s -- --local

Homebrew (macOS / Linux)

brew tap billy-enrizky/openbrowser

brew install openbrowser-ai

pip

pip install openbrowser-ai

uv (recommended)

uv pip install openbrowser-ai

uvx (zero install)

Run directly without installing -- uvx downloads and caches the package automatically:

# MCP server mode

uvx openbrowser-ai --mcp

CLI daemon mode

uvx openbrowser-ai -c "await navigate('https://example.com')"

pipx

pipx install openbrowser-ai

From source

git clone https://github.com/billy-enrizky/openbrowser-ai.git

cd openbrowser-ai uv pip install -e ".[agent]"

Optional Dependencies

pip install openbrowser-ai[agent]      # LLM agent support (langgraph, langchain, litellm)

pip install openbrowser-ai[all] # All LLM providers pip install openbrowser-ai[anthropic] # Anthropic Claude pip install openbrowser-ai[groq] # Groq pip install openbrowser-ai[ollama] # Ollama (local models) pip install openbrowser-ai[aws] # AWS Bedrock pip install openbrowser-ai[azure] # Azure OpenAI pip install openbrowser-ai[video] # Video recording support

No separate browser install needed. OpenBrowser auto-detects any installed Chromium-based browser (Chrome, Edge, Brave, Chromium) and uses it directly. If none is found and uvx is available, Chromium is installed automatically on first run. To pre-install manually (requires uvx): openbrowser-ai install

Quick Start

Basic Usage

import asyncio

from openbrowser import CodeAgent, ChatGoogle

async def main(): agent = CodeAgent( task="Go to google.com and search for 'Python tutorials'", llm=ChatGoogle(model="gemini-3-flash"), )

result = await agent.run() print(f"Result: {result}")

asyncio.run(main())

With Different LLM Providers

from openbrowser import CodeAgent, ChatOpenAI, ChatAnthropic, ChatGoogle

OpenAI

agent = CodeAgent(task="...", llm=ChatOpenAI(model="gpt-5.2"))

Anthropic

agent = CodeAgent(task="...", llm=ChatAnthropic(model="claude-sonnet-4-6"))

Google Gemini

agent = CodeAgent(task="...", llm=ChatGoogle(model="gemini-3-flash"))

Using Browser Session Directly

import asyncio

from openbrowser import BrowserSession, BrowserProfile

async def main(): profile = BrowserProfile( headless=True, viewport_width=1920, viewport_height=1080, )

session = BrowserSession(browser_profile=profile) await session.start()

await session.navigate_to("https://example.com") screenshot = await session.screenshot()

await session.stop()

asyncio.run(main())

Configuration

Environment Variables

# Google (recommended)

export GOOGLE_API_KEY="..."

OpenAI

export OPENAI_API_KEY="sk-..."

Anthropic

export ANTHROPIC_API_KEY="sk-ant-..."

Groq

export GROQ_API_KEY="gsk_..."

AWS Bedrock

export AWS_ACCESS_KEY_ID="..." export AWS_SECRET_ACCESS_KEY="..." export AWS_DEFAULT_REGION="us-west-2"

Azure OpenAI

export AZURE_OPENAI_API_KEY="..." export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"

BrowserProfile Options

from openbrowser import BrowserProfile

profile = BrowserProfile( headless=True, viewport_width=1280, viewport_height=720, disable_security=False, extra_chromium_args=["--disable-gpu"], record_video_dir="./recordings", proxy={ "server": "http://proxy.example.com:8080", "username": "user", "password": "pass", }, )

Supported LLM Providers

Provider	Class	Models
Google	`ChatGoogle`	gemini-3-flash, gemini-3-pro
OpenAI	`ChatOpenAI`	gpt-5.2, o4-mini, o3
Anthropic	`ChatAnthropic`	claude-sonnet-4-6, claude-opus-4-6
Groq	`ChatGroq`	llama-4-scout, qwen3-32b
AWS Bedrock	`ChatAWSBedrock`	anthropic.claude-sonnet-4-6, amazon.nova-pro
AWS Bedrock (Anthropic)	`ChatAnthropicBedrock`	Claude models via Anthropic Bedrock SDK
Azure OpenAI	`ChatAzureOpenAI`	Any Azure-deployed model
OpenRouter	`ChatOpenRouter`	Any model on openrouter.ai
DeepSeek	`ChatDeepSeek`	deepseek-chat, deepseek-r1
Cerebras	`ChatCerebras`	llama-4-scout, qwen-3-235b
Ollama	`ChatOllama`	llama-4-scout, deepseek-r1 (local)
OCI	`ChatOCIRaw`	Oracle Cloud GenAI models
Browser-Use	`ChatBrowserUse`	External LLM service

Claude Code Plugin

Install OpenBrowser as a Claude Code plugin:

# Add the marketplace (one-time)

claude plugin marketplace add billy-enrizky/openbrowser-ai

Install the plugin

claude plugin install openbrowser@openbrowser-ai

This installs the MCP server and 7 built-in skills:

Skill	Description
`deep-research`	Conduct cited, multi-source web research and produce markdown and JSON reports
`web-scraping`	Extract structured data, handle pagination
`form-filling`	Fill forms, login flows, multi-step wizards
`e2e-testing`	Test web apps by simulating user interactions
`page-analysis`	Analyze page content, structure, metadata
`accessibility-audit`	Audit pages for WCAG compliance
`file-download`	Download files (PDFs, CSVs) using browser session

See plugin/README.md for detailed tool parameter documentation.

Codex

OpenBrowser works with OpenAI Codex via native skill discovery.

Quick Install

Tell Codex:

Fetch and follow instructions from https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/refs/heads/main/.codex/INSTALL.md

Manual Install

# Clone the repository

git clone https://github.com/billy-enrizky/openbrowser-ai.git ~/.codex/openbrowser

Symlink skills for native discovery

mkdir -p ~/.agents/skills ln -s ~/.codex/openbrowser/plugin/skills ~/.agents/skills/openbrowser

Restart Codex

Then configure the MCP server in your project (see MCP Server below).

Detailed docs: .codex/INSTALL.md

OpenCode

OpenBrowser works with OpenCode.ai via plugin and skill symlinks.

Quick Install

Tell OpenCode:

Fetch and follow instructions from https://raw.githubusercontent.com/billy-enrizky/openbrowser-ai/refs/heads/main/.opencode/INSTALL.md

Manual Install

# Clone the repository

git clone https://github.com/billy-enrizky/openbrowser-ai.git ~/.config/opencode/openbrowser

Create directories

mkdir -p ~/.config/opencode/plugins ~/.config/opencode/skills

Symlink plugin and skills

ln -s ~/.config/opencode/openbrowser/.opencode/plugins/openbrowser.js ~/.config/opencode/plugins/openbrowser.js ln -s ~/.config/opencode/openbrowser/plugin/skills ~/.config/opencode/skills/openbrowser

Restart OpenCode

Then configure the MCP server in your project (see MCP Server below).

Detailed docs: .opencode/INSTALL.md

OpenClaw

OpenClaw supports OpenBrowser via the CLI daemon. Install OpenBrowser, then use openbrowser-ai -c from the Bash tool:

openbrowser-ai -c "await navig

只显示了开头部分；其余内容请在仓库中阅读

Openbrowser AI

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“网页与浏览器”中的其他服务器比较i

常见问题

替代选择

Browser Use

Chrome DevTools MCP

MCP Server Browser

作者的 README

Table of Contents

Documentation

Key Features

Installation

Quick install (macOS / Linux)

Quick install (Windows PowerShell)

Homebrew (macOS / Linux)

pip

uv (recommended)

uvx (zero install)

CLI daemon mode

pipx

From source

Optional Dependencies

Quick Start

Basic Usage

With Different LLM Providers

OpenAI

Anthropic

Google Gemini

Using Browser Session Directly

Configuration

Environment Variables

OpenAI

Anthropic

Groq

AWS Bedrock

Azure OpenAI

BrowserProfile Options

Supported LLM Providers

Claude Code Plugin

Install the plugin

Codex

Quick Install

Manual Install

Symlink skills for native discovery

Restart Codex

OpenCode

Quick Install

Manual Install

Create directories

Symlink plugin and skills

Restart OpenCode

OpenClaw