NestDaddy

SCModeling

com.scmodeling/public ยท v1.0.1

Supply-chain network design via simulation, optimization, and greenfield analysis.

Connect Remote server

Terminal
claude mcp add --transport http public https://scmodeling.com/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "public": {
      "url": "https://scmodeling.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "public": {
      "type": "http",
      "url": "https://scmodeling.com/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://scmodeling.com/mcp

Tools 12 found in our last check

  • list_models

    List the sample supply chain models run_simulation has a saved engine run for, with each model's id and a short description.

  • run_simulation

    Return the saved SC Builder engine run of a sample supply chain model: metrics, orders, shipments, routing and inventory series, verbatim. This server runs no engine; a model without a saved run answers 'not available here'. Quote the numbers verbatim.

  • get_sc_theory

    Reference text from the SC Builder engine: event-driven model, ordering policies (pull, push, planned), the forecast-demand and order-point formulas, bill of materials, routing and supplier selection. Static text.

  • explain_simulation

    Primer on supply chain simulation: when to simulate, optimize or both, how a discrete-event network model works, which numbers the engine reports, and the limits of a single run. Static text; call run_simulation for figures.

  • explain_optimization

    Primer on supply chain network optimization: mixed-integer programming, decision variables and constraints, landed-cost objectives, the common problem classes, and when to optimize versus simulate. Static text.

  • explain_greenfield

    Primer on greenfield analysis: center-of-gravity (Weber) siting, Weiszfeld's algorithm, location-allocation for N facilities, service constraints, and when to use greenfield versus facility selection. Static text.

  • list_opt_demos

    List the saved optimization demos (Tariff sourcing, Coffee co-pack siting, Safety Stock Optimization) with an id and summary each. Use before describe_opt_demo or get_opt_result.

  • describe_opt_demo

    Detail on one optimization demo: what it shows, its source, and every saved scenario key. Use before get_opt_result.

  • get_opt_result

    Return the saved optimization result for one scenario of a demo, verbatim: sourcing, production and transport decisions, costs, and facility open/close decisions. Call describe_opt_demo first for the valid scenario keys. Quote the numbers verbatim.

  • list_greenfield_demos

    List the saved greenfield siting demos with an id and summary each. Use before describe_greenfield_demo or get_greenfield_result.

  • describe_greenfield_demo

    Detail on one greenfield demo: region, customer count, the saved DC counts and the score curve. Use before get_greenfield_result.

  • get_greenfield_result

    Return the saved greenfield result for one DC count, verbatim: the sited DCs (lat/lon, nearest city) and which customers each serves. Quote the numbers verbatim.

Details

Endpointhttps://scmodeling.com/mcp (Streamable HTTP)
First published27 May 2026
Last updated27 May 2026
Registry namecom.scmodeling/public

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