Supply-chain network design via simulation, optimization, and greenfield analysis.
Connect Remote server
claude mcp add --transport http public https://scmodeling.com/mcp
{
"mcpServers": {
"public": {
"url": "https://scmodeling.com/mcp"
}
}
}
{
"servers": {
"public": {
"type": "http",
"url": "https://scmodeling.com/mcp"
}
}
}
Settings > Connectors > Add custom connector
URL: https://scmodeling.com/mcp
Tools 12 found in our last check
list_modelsList the sample supply chain models run_simulation has a saved engine run for, with each model's id and a short description.
run_simulationReturn 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_theoryReference 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_simulationPrimer 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_optimizationPrimer 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_greenfieldPrimer 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_demosList 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_demoDetail on one optimization demo: what it shows, its source, and every saved scenario key. Use before get_opt_result.
get_opt_resultReturn 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_demosList the saved greenfield siting demos with an id and summary each. Use before describe_greenfield_demo or get_greenfield_result.
describe_greenfield_demoDetail on one greenfield demo: region, customer count, the saved DC counts and the score curve. Use before get_greenfield_result.
get_greenfield_resultReturn 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
| Endpoint | https://scmodeling.com/mcp (Streamable HTTP) |
| First published | 27 May 2026 |
| Last updated | 27 May 2026 |
| Registry name | com.scmodeling/public |
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