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OptimEngine - Operations Scheduling Solver MCP Server

@MicheleCampi

代码仓库

基本信息

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stdio

作者

MicheleCampi

提交者

Michele Campi

关于 OptimEngine - Operations Scheduling Solver MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

OptimEngine - Operations Scheduling Solver MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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)

常见问题

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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