RASON

This connects Claude to Frontline Systems' RASON platform, letting you build and solve optimization, simulation, and machine learning models through a RESTful API. You can create models in RASON's JSON-like notation or work with existing Excel models from Analytic Solver, then run them as Azure-based services. The server exposes operations for linear and nonlinear optimization, Monte Carlo simulation, forecasting, and decision analysis. Reach for this when you need to solve constrained optimization problems, run risk simulations, or build multi-stage decision flows without writing low-level solver code. Models use standard JSON for input and output, and you can connect to 100+ cloud data sources including Microsoft's Common Data Service.