NeoForge Browser MCP is a headless browser framework that uses Playwright for automation, providing real-time communication and Web UI for interaction. It supports MCP integration for AI agents, websocket updates, and event subscription for page, DOM, console, and network events.
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Created by:
Apr 10 2025
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What is NeoForge Browser MCP?
This MCP offers a headless browser system built on Playwright, allowing automation, testing, and interaction with web pages via a web UI and WebSocket communication. It supports real-time event subscriptions for page navigation, DOM mutations, console logs, and network requests, making it suitable for testing, automation, and AI agent integration. It can be deployed with Docker or installed manually, with prerequisites including Python 3.13+ and XQuartz for visualization. The system facilitates remote control, monitoring, and automation for developers and QA teams.
Who will use NeoForge Browser MCP?
- Developers
- QA Engineers
- AI Developers
- Automation Engineers
- Testing Teams
How to use the NeoForge Browser MCP?
- Step1: Install prerequisites (Python 3.13+, Docker, XQuartz if needed)
- Step2: Clone the repository or run the one-line install script
- Step3: Configure environment variables like MCP_SECRET
- Step4: Run the MCP Browser server using Docker or locally
- Step5: Connect via WebSocket client or use the web UI for browser interaction
- Step6: Subscribe to desired events and perform automation tasks
NeoForge Browser MCP's Core Features & Benefits
The Core Features
- Headless browser automation with Playwright
- Web UI for browser control
- WebSocket communication for real-time updates
- Browser event subscription (navigation, DOM, console, network)
- Integration with MCP for AI agents
The Benefits
- Enables remote browser automation and testing
- Supports real-time event monitoring and reactions
- Flexible deployment via Docker or manual setup
- Facilitates AI integration for automated decision-making
- Provides detailed insights into web page behavior
NeoForge Browser MCP's Main Use Cases & Applications
- Remote automated testing of websites
- AI agent interactions with web pages
- Real-time web scraping and monitoring
- Browser behavior analysis during development
- Automated QA and bug reproduction