.NET Browser Automation Framework with MCP Support for AI Agents

.NET Browser Automation Framework with MCP Support

This .NET framework provides robust browser automation capabilities, designed for developers building AI agents and complex testing scenarios. It offers direct, low-level control over Chromium and Firefox browsers through WebSocket communication, ensuring high performance and reliability. The integrated MCP server component is specifically engineered to facilitate seamless interaction with AI agents, enabling them to control browser actions and interpret web content.

What it Does

The framework allows .NET applications to programmatically control web browsers. It establishes a direct WebSocket connection to browser instances, bypassing traditional WebDriver protocols for enhanced speed and flexibility. This direct communication enables precise manipulation of browser elements, navigation, and data extraction. Crucially, it includes an MCP (Message Communication Protocol) server, acting as an intermediary for AI agents. These agents can send commands to the browser via MCP and receive feedback, making it an ideal solution for AI-driven web interactions and automated tasks.

Key Features

• Extensible .NET Framework: Built with .NET, offering familiar development paradigms and extensive library support.
• Direct WebSocket Communication: Connects directly to Chromium and Firefox, bypassing WebDriver for improved performance.
• MCP Server Included: Provides an integrated MCP server for AI agents to communicate with the browser.
• Browser Automation: Enables programmatic control over browser navigation, element interaction, and data scraping.
• Testing Capabilities: Suitable for building sophisticated automated browser testing suites.
• Open Source: Available on GitHub, allowing for community contributions and transparency.

Who it's For

This framework is targeted at .NET developers, AI engineers, and researchers focused on building AI agents that require direct browser interaction. It is particularly useful for those developing automated web scraping solutions, AI-powered testing tools, or any application where an AI agent needs to control and understand web content in real-time. Developers looking for a high-performance, flexible, and extensible solution for browser automation with integrated AI agent support will find this tool highly valuable.