Browser Agent MCP Server
Provides browser automation capabilities through Claude Desktop and other MCP clients, enabling navigation, screenshot capture, content extraction, and interactive control.
README
Browser Agent MCP Server
A Model Context Protocol (MCP) server that provides browser automation capabilities through Claude Desktop and other MCP clients.
Features
- 🌐 Browser Automation: Control web browsers programmatically
- 🎯 Multiple Engines: Support for Playwright and Selenium
- 📸 Screenshot Capture: Take screenshots of web pages
- 🔍 Content Extraction: Extract text and HTML content
- 🖱️ Interactive Control: Click, type, scroll, and navigate
- ⚡ Fast Setup: One-click startup with
uv - 🔧 Flexible Configuration: Environment variables and command-line options
Quick Start
1. Install Dependencies
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh
# Clone and setup the project
git clone <your-repo-url>
cd browser-agent
# Install dependencies and browsers
uv sync
uv run playwright install
2. One-Click Startup
# Start the MCP server
uv run python start.py
Claude Desktop Configuration
1. Install uv
Make sure uv is installed on your system:
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Add Browser Agent Server
Option A: From GitHub Repository (Recommended) Use this configuration to run directly from your GitHub repository:
{
"mcpServers": {
"browser-agent": {
"command": "uv",
"args": [
"run",
"--from",
"git+https://github.com/galilio/browser-mcp.git",
"python",
"start.py"
],
"env": {
"BROWSER_ENGINE": "playwright",
"BROWSER_HEADLESS": "false",
"BROWSER_TIMEOUT": "30000"
}
}
}
}
Option B: Generate GitHub Configuration Run the GitHub configuration generator:
uv run python generate_github_config.py
Option C: Generate Local Configuration Run the configuration generator to get the correct local paths:
uv run python generate_config.py
Option D: Manual Local Configuration Add the following configuration to your MCP servers (replace the path with your actual project directory):
{
"mcpServers": {
"browser-agent": {
"command": "uv",
"args": ["run", "python", "/path/to/your/browser-agent/start.py"],
"env": {
"BROWSER_ENGINE": "playwright",
"BROWSER_HEADLESS": "false",
"BROWSER_TIMEOUT": "30000",
"BROWSER_SCREENSHOT_DIR": "/path/to/your/browser-agent/screenshots"
}
}
}
}
3. Alternative Configurations
GitHub Repository - Headless Mode:
{
"mcpServers": {
"browser-agent": {
"command": "uv",
"args": [
"run",
"--from",
"git+https://github.com/galilio/browser-mcp.git",
"python",
"start.py",
"--headless"
],
"env": {
"BROWSER_ENGINE": "playwright"
}
}
}
}
GitHub Repository - Selenium Engine:
{
"mcpServers": {
"browser-agent": {
"command": "uv",
"args": [
"run",
"--from",
"git+https://github.com/galilio/browser-mcp.git",
"python",
"start.py",
"--engine",
"selenium"
],
"env": {
"BROWSER_HEADLESS": "false"
}
}
}
}
4. Restart Claude Desktop
After adding the configuration, restart Claude Desktop for the changes to take effect.
Usage Examples
Once configured, you can use the browser agent in Claude Desktop:
- "Navigate to https://example.com"
- "Take a screenshot of the page"
- "Click the login button"
- "Type 'hello world' in the search box"
- "Extract all links from the page"
- "Scroll down to the bottom"
- "Fill out a contact form with my information"
Running the MCP Server
Direct Execution
# Basic startup
uv run python start.py
# Headless mode
uv run python start.py --headless
# Using Selenium engine
uv run python start.py --engine selenium
# Custom timeout
uv run python start.py --timeout 60000
# Custom screenshot directory
uv run python start.py --screenshot-dir ./my_screenshots
Environment Variables
Create a .env file based on env.example:
# Browser Configuration
BROWSER_ENGINE=playwright
BROWSER_HEADLESS=false
BROWSER_TIMEOUT=30000
BROWSER_SCREENSHOT_DIR=./screenshots
BROWSER_USER_AGENT=Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36
BROWSER_ARGS=--no-sandbox,--disable-dev-shm-usage
# MCP Configuration
MCP_SERVER_NAME=browser-agent
Available Tools
The MCP server provides the following tools:
navigate_to: Navigate to a URLclick_element: Click on an elementtype_text: Type text into an elementget_page_content: Get page content (text or HTML)take_screenshot: Take a screenshotwait_for_element: Wait for an element to appearexecute_javascript: Execute JavaScript codescroll_page: Scroll the pageget_elements: Get elements by selector
Troubleshooting
If the server doesn't start:
- Make sure Python 3.10+ is installed
- Verify that
uv syncanduv run playwright installcompleted successfully - Check that the
start.pyfile is in the correct directory - Try running
uv run python start.py --check-onlyto verify the environment - Ensure
uvis installed and available in your PATH - Verify the absolute path in your MCP configuration is correct
For other MCP clients
GitHub Repository Configuration:
{
"mcpServers": {
"browser-agent": {
"command": "uv",
"args": [
"run",
"--from",
"git+https://github.com/galilio/browser-mcp.git",
"python",
"start.py"
],
"env": {
"BROWSER_ENGINE": "playwright",
"BROWSER_HEADLESS": "false"
}
}
}
}
Development
Project Structure
browser-agent/
├── browser_agent_mcp/ # Main package
│ ├── __init__.py
│ ├── config.py # Configuration management
│ ├── browser_controller.py # Browser automation logic
│ ├── server.py # MCP server implementation
│ └── main.py # Entry point
├── start.py # One-click startup script
├── generate_config.py # Configuration generator
├── pyproject.toml # Project configuration
├── env.example # Environment variables template
└── README.md # This file
Manual Installation
If you prefer manual installation:
# Install Python dependencies
pip install mcp playwright selenium python-dotenv pydantic beautifulsoup4 requests
# Install Playwright browsers
playwright install
# Install Selenium WebDriver (if using Selenium)
# Download ChromeDriver from: https://chromedriver.chromium.org/
License
This project is licensed under the MIT License.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。