Seed-system-dynamics

This MCP endpoint serves as an agentic interface for your S-E-E-D System Dynamics model, enabling AI assistants to programmatically interact with and simulate non-linear feedback loops based on your research framework: * Core Framework (S-E-E-D): * S (Snowball dynamics): Positive self-reinforcing feedback loops (R) driving exponential acceleration or growth. * E (Equilibrium constraints): Negative balancing loops (B) and carrying-capacity boundaries that resist change. * E (Elastic time lags): Material information delays and perception adjustment time constants (AT). * D (Dominance shifts): Dynamic regime shifts where governing loop dominance transitions between reinforcing and balancing forces over time. * MCP Role & Functionality: * Exposes the underlying Gradio simulation functions as standardized Model Context Protocol tools. * Allows LLMs and external clients to calibrate parameters, run scenario analyses (such as Dynamic Consent Engineering / feedback intervention models), and fetch simulation trajectories directly into agentic workflows.