The server enables AI agents to define and execute predictable, multi-step data pipelines using a declarative workflow graph. It guarantees deterministic execution order and provides visual representations of the data flow without relying on heavy cloud orchestrators.
Enables agents to inspect, plan, run, and backtest alpha pipelines expressed as DAGs, with tools for table discovery, lineage, backtests, reports, and workflow authoring.
Enables AI clients to programmatically build, validate, run, and test executable agent graphs as nodes and wires through local MCP tools, with SQLite storage and no cloud dependency.
Enables AI agents to programmatically create and manipulate Qt-based visual programming flows, including device model parsing and port connection, through natural language.