How It Works

1. Choose a Template or Start from Scratch Users can select from a growing library of industry-tested templates—ranging from simple buy/sell bots to complex multi-signal analytics agents—or begin with a blank canvas for complete freedom.

2. Drag-and-Drop MCP Each MCP component (e.g., data fetchers, trading modules, analytics engines) is represented as a “MCP.” By simply dragging these sub-agents onto the canvas and connecting them, users can build sophisticated processes in minutes.

3. Configure Parameters Visually From risk limits to signal thresholds, every variable can be adjusted through a user-friendly interface. This means less time spent interpreting configuration files or code, and more time optimizing strategies.

4. Add Conditional Logic If-then statements, loops, and complex branching are all managed visually. This makes it much easier to handle real-world trading logic, such as “If BTC’s price rises by 2% and the RSI indicates overbought, then close positions.”