OptimEngine - Operations Scheduling Solver

Name: OptimEngine - Operations Scheduling Solver
Author: MicheleCampi

@MicheleCampi

OptimEngine - Operations Scheduling Solver 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

基本情報

カテゴリ

生産性

トランスポート

stdio

公開者

MicheleCampi

投稿者

Michele Campi

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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)

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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