Constrained Optimization
Solve complex combinatorial and numerical optimization problems with a unified interface to multiple powerful solvers, empowering AI assistants.
About
Empower AI agents to tackle complex combinatorial and numerical optimization challenges across diverse domains. This general-purpose server acts as a unified interface to a suite of powerful optimization solvers, including Z3, CVXPY, HiGHS, and OR-Tools, making it an essential tool for AI assistants that need to reason about and solve problems involving logical constraints, resource allocation, scheduling, and financial modeling.
Key Features
- Designed for use with AI assistants via MCP protocol
- Unified Interface to multiple optimization backends
- Modular and extensible design for adding new solvers
- Optimized for large-scale problems with high performance
- 1 GitHub stars
- Specialized tools for portfolio optimization and risk management
Use Cases
- Solving complex constraint satisfaction problems and logic puzzles
- Advanced portfolio optimization and financial risk management
- Automating scheduling and resource allocation in operations