An MCP server that bridges AI clients with a frontend 3D visualization application to control model properties, lighting, and camera settings via WebSocket. It enables real-time manipulation of 3D scenes through natural language commands for scaling, rotating, and coloring models.
An MCP server that gives AI agents real browser capabilities including screenshotting, action execution, data extraction, and multi-persona auditing for frontend validation.
A source-aware MCP server that connects AI agents to browser and server runtimes, enabling real-time debugging, monitoring, and automatic fixes via WebSocket or HTTP.
MCP server that connects AI agents to a real Chrome browser via a WebSocket extension bridge, enabling over 40 browser control tools without debug mode or profile isolation.
