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Openbrowser AI

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "openbrowser-ai": {
      "command": "uvx",
      "args": [
        "openbrowser-ai"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

OpenBrowser

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

PyPI version Downloads Python 3.12+ License: MIT Tests Coverage

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.

Table of Contents

  • 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 6 guided skills (web scraping, form filling, e2e testing, page analysis, accessibility audit, file download)

Installation

Quick install (macOS / Linux)

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

Quick install (Windows PowerShell)

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:

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

Homebrew (macOS / Linux)

bash
brew tap billy-enrizky/openbrowser
brew install openbrowser-ai

pip

Terminal
pip install openbrowser-ai

uv (recommended)

bash
uv pip install openbrowser-ai

uvx (zero install)

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

bash
# MCP server mode
uvx openbrowser-ai --mcp

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

pipx

bash
pipx install openbrowser-ai

From source

bash
git clone https://github.com/billy-enrizky/openbrowser-ai.git
cd openbrowser-ai
uv pip install -e ".[agent]"

Optional Dependencies

Terminal
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

server.ts
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

server.ts
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

server.ts
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

server.ts
# 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

server.ts
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

ProviderClassModels
GoogleChatGooglegemini-3-flash, gemini-3-pro
OpenAIChatOpenAIgpt-5.2, o4-mini, o3
AnthropicChatAnthropicclaude-sonnet-4-6, claude-opus-4-6
GroqChatGroqllama-4-scout, qwen3-32b
AWS BedrockChatAWSBedrockanthropic.claude-sonnet-4-6, amazon.nova-pro
AWS Bedrock (Anthropic)ChatAnthropicBedrockClaude models via Anthropic Bedrock SDK
Azure OpenAIChatAzureOpenAIAny Azure-deployed model
OpenRouterChatOpenRouterAny model on openrouter.ai
DeepSeekChatDeepSeekdeepseek-chat, deepseek-r1
CerebrasChatCerebrasllama-4-scout, qwen-3-235b
OllamaChatOllamallama-4-scout, deepseek-r1 (local)
OCIChatOCIRawOracle Cloud GenAI models
Browser-UseChatBrowserUseExternal LLM service

Claude Code Plugin

Install OpenBrowser as a Claude Code plugin:

bash
# 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 6 built-in skills:

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Openbrowser AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "openbrowser-ai": { "command": "npx", "args": ["-y", "openbrowser-ai"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedSep 7, 2026
Views0
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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