Browser
Enables AI assistants to control a web browser through a WebSocket-based Model Context Protocol server.
About
Browser provides a powerful WebSocket-based server implementation for the Model Context Protocol (MCP), allowing AI assistants to seamlessly control your web browser. This project reimagines browser control by migrating the communication mechanism to WebSockets for enhanced efficiency and re-implementing the backend application in Python, leveraging the FastMCP framework. It empowers AI with comprehensive browser automation capabilities, from navigating pages and interacting with elements to extracting content and capturing screenshots, all while operating entirely locally to safeguard user privacy.
Key Features
- WebSocket Communication: Offers efficient, bidirectional communication for real-time browser control.
- Multi-tool Support: Provides a wide array of tools including page navigation, content extraction, and full-page or element screenshots.
- Python Backend: Utilizes a Python backend implemented with the FastMCP framework for robust server-side operations.
- 2 GitHub stars
- Comprehensive Browser Automation: Allows AI to perform diverse browser actions like clicking elements, filling forms, and keyboard input.
- Local Execution: Ensures user privacy and security by running the entire control system locally.
Use Cases
- Automating complex web workflows with AI agents.
- Integrating AI systems with web browsers for interactive tasks and data gathering.
- Programmatically extracting specific web content or capturing screenshots for analysis.