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by MicheleCampi • Uncategorized
An AI-native MCP server that solves complex NP-hard optimization problems for task, delivery, and item assignments with risk quantification under uncertainty.
Assign tasks to machines and optimize schedules under known constraints.
Perform what-if analysis and risk assessment under uncertain parameters.
Prescriptive recommendations based on forecasting and multi-objective trade-offs.
OptimEngine provides multi-level optimization tools ranging from deterministic scheduling and routing to robust, stochastic, and multi-objective optimization, culminating in prescriptive intelligence that forecasts, optimizes, assesses risk, and recommends actions. It supports advanced scheduling features like per-machine durations, availability windows, quality thresholds, and setup times, making it suitable for real-world industrial applications. The server is built on FastMCP with OR-Tools CP-SAT and Python 3.12, offering a comprehensive solution for AI agents in the agentic economy.