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OptimEngine - Operations Scheduling Solver

@MicheleCampi

关于 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.

基本信息

分类

生产力

传输方式

stdio

发布者

MicheleCampi

提交者

Michele Campi

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"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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)

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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