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OptimEngine - Operations Scheduling Solver MCP Server

@MicheleCampi

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基本情報

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生産性

トランスポート

stdio

作者

MicheleCampi

投稿者

Michele Campi

OptimEngine - Operations Scheduling Solver MCP Server について

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

OptimEngine - Operations Scheduling Solver MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

OptimEngine - Operations Scheduling Solver MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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)

よくある質問

1

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.

2

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`.

3

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.

4

How do I add OptimEngine to Claude Desktop?

Use the following JSON configuration in your MCP settings: ```json { "m

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