MCP Optimizer

Example Use Cases

• 1

  Perform complex mathematical optimization tasks such as linear programming and integer programming.

• 2

  That require integration with LLM clients like Claude Desktop or Cursor for optimization problem solving.

• 3

  A flexible MCP server supporting multiple transport protocols and cross-platform deployment.

Description

MCP Optimizer is a server designed to solve various mathematical optimization problems including linear programming, assignment, transportation, knapsack, routing, scheduling, integer programming, financial optimization, and production planning. It supports multiple transport protocols (STDIO and SSE) and installation methods (Docker, pip, uvx) with full OR-Tools support on most platforms except limited functionality on macOS uvx. The server integrates easily with LLM clients like Claude Desktop and Cursor, providing a robust and flexible optimization backend.