SAGE — Solver-Augmented Grounding Engine

SAGE — Solver-Augmented Grounding Engine

SAGE grounds AI in mathematical truth. It is a local MCP server that gives Claude Desktop — and any MCP-compatible agent — the ability to formulate, solve, and certify mathematical optimization problems using production-grade open-source solvers.

Status: v0.1.3 — Alpha · Author: Peter Pragnakar Atreides

---

Why SAGE Exists

Large Language Models are probabilistic text generators. When you ask an LLM to allocate a budget, design a schedule, optimize a route, or balance a portfolio, it generates text that resembles a solution. No simplex method runs underneath. No branch-and-bound search. No constraint check. The model cannot prove optimality, certify feasibility, or — critically — declare with certainty that no feasible solution exists.

One of the most valuable outcomes in decision-making is a mathematically certified statement of infeasibility. It tells decision-makers their goals conflict, their assumptions are inconsistent, or their constraints must be renegotiated. LLMs have no native mechanism to produce this. SAGE provides it.

---

View the full README on GitHub