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OptimEngine - Operations Scheduling Solver

@MicheleCampi

Repository

About OptimEngine - Operations Scheduling Solver

Flexible Job Shop Scheduling solver using Google OR-Tools CP-SAT. Optimizes task-to-machine assignments with precedence, time windows, setup times, and multiple objectives. MCP-native for AI agents.

#optimization#scheduling#manufacturing#operations#or-tools#mcp

Basic information

Category

Productivity

Transports

stdio

Publisher

MicheleCampi

Submitted by

Michele Campi

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "optim-engine": {
      "command": "npx",
      "args": [
        "supergateway",
        "--sse",
        "https://optim-engine-production.up.railway.app/mcp/sse"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is OptimEngine - Operations Scheduling Solver?

An Operations Intelligence Engine that solves NP-hard optimization problems including scheduling, routing, packing, and risk analysis. It provides 11 MCP tools across four intelligence levels (L1 deterministic through L3 prescriptive), allowing AI agents to ask in natural language and receive optimal decisions. It is powered by Google OR-Tools CP-SAT and Routing solvers.

How to use OptimEngine - Operations Scheduling Solver?

Add it as a custom integration in claude.ai by pasting the SSE URL (https://optim-engine-production.up.railway.app/mcp/sse). Claude discovers all 11 tools automatically—no installation or code required. For developer environments (Claude Desktop, Cursor), configure it via supergateway with the same SSE endpoint.

Key features of OptimEngine - Operations Scheduling Solver

  • 11 MCP tools for optimization, risk, forecast, and prescription
  • Four intelligence levels: Deterministic, Uncertainty, Multi-Objective, Prescriptive
  • Powered by Google OR-Tools CP-SAT and Routing solvers
  • Works out‑of‑the‑box on claude.ai with no installation
  • Supports sensitivity, robust, and stochastic optimization
  • Includes Pareto frontier analysis and prescriptive advice with forecasting

Use cases of OptimEngine - Operations Scheduling Solver

  • Schedule production orders on machines to minimize makespan and tardiness
  • Optimize delivery routes for clients with capacity and time‑windows constraints
  • Run sensitivity analysis to assess the impact of parameter changes
  • Combine routing and packing for end‑to‑end delivery logistics
  • Perform strategic what‑if analysis (e.g., evaluating new line investments)

FAQ from OptimEngine - Operations Scheduling Solver

What platforms can I use OptimEngine on?

It works on claude.ai (Free, Pro, Max, Team, Enterprise) as a custom integration, and can be configured in Claude Desktop or Cursor via supergateway. It is also available on MCPize, Apify Store, LobeHub, mcp.so, and as an ERC‑8004 agent on Base L2.

Do I need to install anything?

No. When used with claude.ai, no code or installation is required—just paste the SSE URL. For developer integration, you run a single npx command with supergateway.

Is OptimEngine free to use?

Yes. The README states “capital invested: €0” and the project is released under the MIT license. No pricing or usage limits are mentioned.

How do I add OptimEngine to Claude Desktop?

Use the following JSON configuration in your MCP settings:

{
  "m

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