claude-browser-mcp
Browser automation MCP server for Claude Code - provides web interaction tools via Playwright
Documentation
Browser MCP Server
A Model Context Protocol (MCP) server that provides comprehensive browser automation capabilities using Playwright. This server enables AI assistants to interact with web pages through standardized MCP tools for navigation, content extraction, form filling, and screenshot capture.
๐ Features
Core Browser Operations
- Navigate to URLs with smart waiting strategies
- Extract page content with customizable selectors
- Take screenshots (full page, viewport, or specific elements)
- Execute JavaScript with result capture
- Click elements by CSS selectors
- Fill forms automatically with validation
Advanced Capabilities
- Multi-browser support (Chromium, Firefox, WebKit)
- Request interception and monitoring
- Viewport customization and responsive testing
- Link extraction and URL processing
- Error handling with detailed responses
- Resource management and cleanup
๐ฆ Installation
Prerequisites
- Python 3.8 or higher
- Node.js (for Playwright browser installation)
Install from Source
# Clone the repository
git clone
cd claude-browser-mcp
# Install dependencies
pip install -e .
# Install Playwright browsers
playwright installInstall from PyPI (when available)
pip install claude-browser-mcp
playwright install๐ Usage
As MCP Server
Start the server with stdio transport:
browser-mcp
# or
python -m src.serverConfiguration
Configure the browser through environment variables:
export BROWSER_HEADLESS=true # Run in headless mode
export BROWSER_TYPE=chromium # Browser type (chromium/firefox/webkit)
export BROWSER_TIMEOUT=30000 # Default timeout in millisecondsMCP Client Integration
Add to your MCP client configuration:
{
"mcpServers": {
"browser-automation": {
"command": "browser-mcp",
"args": []
}
}
}๐ง Available Tools
`navigate_to`
Navigate to a specified URL with optional waiting.
{
"name": "navigate_to",
"arguments": {
"url": "https://example.com",
"wait_for": "selector",
"timeout": 30
}
}`get_page_content`
Extract text content from the current page.
{
"name": "get_page_content",
"arguments": {
"include_links": true,
"selector": ".main-content"
}
}`click_element`
Click on elements by CSS selector.
{
"name": "click_element",
"arguments": {
"selector": "button#submit",
"timeout": 10
}
}`fill_form`
Fill form fields with data.
{
"name": "fill_form",
"arguments": {
"fields": {
"#email": "user@example.com",
"#password": "secretpass"
},
"submit": true
}
}`take_screenshot`
Capture page screenshots.
{
"name": "take_screenshot",
"arguments": {
"full_page": true,
"selector": ".dashboard"
}
}`execute_javascript`
Run JavaScript in the browser context.
{
"name": "execute_javascript",
"arguments": {
"code": "document.title",
"return_value": true
}
}๐ Project Structure
claude-browser-mcp/
โโโ src/
โ โโโ __init__.py # Package initialization
โ โโโ server.py # MCP server implementation
โ โโโ browser.py # Browser management
โ โโโ actions.py # High-level browser actions
โ โโโ utils.py # Utility functions
โโโ requirements.txt # Python dependencies
โโโ setup.py # Package configuration
โโโ README.md # This file๐ Architecture
Server (`server.py`)
- MCP server implementation with tool registration
- Request routing and response formatting
- Error handling and logging
- Async tool execution
Browser Manager (`browser.py`)
- Playwright browser lifecycle management
- Context creation and configuration
- Resource cleanup and recovery
- Multi-browser support
Actions (`actions.py`)
- High-level browser automation methods
- Content extraction and processing
- Form interaction and validation
- Screenshot and JavaScript execution
Utils (`utils.py`)
- HTML sanitization and cleaning
- URL validation and normalization
- Image processing and encoding
- Data formatting utilities
๐ Security Considerations
- HTML sanitization removes dangerous scripts and attributes
- URL validation prevents malicious redirects
- Input validation for all user-provided data
- Resource limits prevent excessive memory usage
- Timeout controls prevent hanging operations
๐ณ Docker Deployment
Quick Start with Docker
# Build and run with Docker Compose
docker-compose up browser-mcp
# Or build manually
./scripts/docker-build.sh
./scripts/start-container.shProduction Deployment
# Build production image
docker build -t browser-mcp:latest .
# Run with optimal settings
docker run -d \
--name browser-mcp \
--init --ipc=host --shm-size=1gb \
--memory=2g --cpus=1.0 \
-v $(pwd)/screenshots:/app/screenshots \
-v $(pwd)/downloads:/app/downloads \
browser-mcp:latestDevelopment with Docker
# Development container with debugging
docker-compose --profile dev up browser-mcp-dev
# Access container
docker exec -it claude-browser-mcp-dev /bin/bashContainer Management
# Health check
./scripts/health-check.sh
# View logs
docker logs -f claude-browser-mcp
# Monitor resources
docker stats claude-browser-mcp๐จ Error Handling
The server provides detailed error responses with:
- Error categorization (timeout, validation, execution)
- Context information (URL, selector, arguments)
- Recovery suggestions where applicable
- Logging for debugging and monitoring
๐ Response Format
All tools return standardized JSON responses:
{
"success": true,
"url": "https://example.com",
"title": "Page Title",
"data": "...",
"metadata": {
"timestamp": "...",
"execution_time": "..."
}
}Error responses include:
{
"success": false,
"error": "Detailed error message",
"tool": "tool_name",
"arguments": {...},
"timestamp": "..."
}๐ก Environment Variables
| Variable | Default | Description |
|---|---|---|
| `BROWSER_HEADLESS` | `true` | Run browser in headless mode |
| `BROWSER_TYPE` | `chromium` | Browser engine to use |
| `BROWSER_TIMEOUT` | `30000` | Default timeout (ms) |
๐ค Development
Setting up Development Environment
# Install in development mode
pip install -e .[dev]
# Run tests
pytest tests/
# Format code
black src/
# Type checking
mypy src/Adding New Tools
1. Define tool schema in `server.py`
2. Implement action method in `actions.py`
3. Add utility functions in `utils.py`
4. Update documentation and tests
๐ License
MIT License - see LICENSE file for details.
๐ Acknowledgments
- Playwright for browser automation
- MCP for the protocol specification
- Anthropic for Claude and MCP development
๐ Support
- Issues: Report bugs and request features on GitHub
- Documentation: See inline code documentation
- Community: Join MCP community discussions
Note: This is a foundational implementation. Additional features like request interception, advanced form handling, and performance optimizations can be added based on specific use cases.
Frequently asked questions
What is claude-browser-mcp?
claude-browser-mcp is Browser automation MCP server for Claude Code - provides web interaction tools via Playwright
How do I install claude-browser-mcp?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is claude-browser-mcp open source?
Yes โ it is hosted on GitHub at https://github.com/sac916/claude-browser-mcp and has 1 stars.
Related MCP tools
Browse the web, directly from Cursor etc. Built for the Model Context Protocol to enhance AI capabilities. Python-based implementation.
๐ OpenHands: Code Less, Make More for the Model Context Protocol. Enhance AI assistants with powerful integrations. Python-based implementation.
Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. Python-based implementation.
ๅบไบๅคงๆจกๅๆญๅปบ็่ๅคฉๆบๅจไบบ๏ผๅๆถๆฏๆ ๅพฎไฟกๅ ฌไผๅทใไผไธๅพฎไฟกๅบ็จใ้ฃไนฆใ้้ ็ญๆฅๅ ฅ๏ผๅฏ้ๆฉChatGPT/Claude/DeepSeek/ๆๅฟไธ่จ/่ฎฏ้ฃๆ็ซ/้ไนๅ้ฎ/ Gemini/GLM-4/Kimi/LinkAI๏ผ่ฝๅค็ๆๆฌใ่ฏญ้ณๅๅพ็๏ผ่ฎฟ้ฎๆไฝ็ณป็ปๅไบ่็ฝ๏ผๆฏๆๅบไบ่ชๆ็ฅ่ฏๅบ่ฟ่กๅฎๅถไผไธๆบ่ฝๅฎขๆใ
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations. Built for the Model Context Protocol to
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP