sharmarajnish-constrained-optimization
Provides unified access to multiple optimization solvers including Z3, CVXPY, HiGHS, and OR-Tools for solving constraint satisfaction, convex optimization, linear programming, and combinatorial problems like portfolio optimization, production planning, scheduling, and classic puzzles with mathematical formulations and visualization capabilities.
- Score
- 55.5152 signals
- Evidence
- 5 stars · 2 forks
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server Constrained Optimization, catalogued on PulseMCP. Provides unified access to multiple optimization solvers including Z3, CVXPY, HiGHS, and OR-Tools for solving constraint satisfaction, convex optimization, linear programming, and combinatorial problems like portfolio optimization, production planning, scheduling, and classic puzzles with mathematical formulations and visualization capabilities.
When to use it
Provides unified access to multiple optimization solvers including Z3, CVXPY, HiGHS, and OR-Tools for solving constraint satisfaction, convex optimization, linear programming, and combinatorial problems like portfolio optimization, production planning, scheduling, and classic puzzles with mathematical formulations and visualization capabilities.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.