SCModeling

com.scmodeling/public

Connects Claude to SCModeling's desktop supply chain tools: greenfield site location, AMOS optimization for facility placement and sourcing, and discrete-event simulation to validate designs under real-world variability. You can ask it to model tariff scenarios, re-optimize network flows under duty changes, or simulate lead times and stockouts on the same canonical graph model. The agent layer lets you query in plain language like "re-source under a 25% duty and show me what breaks" and get back actual engine output, not approximations. Reach for this when you're doing network design work that needs optimization plus proof by simulation, especially for tariff impact analysis or footprint decisions where you want validated results before moving facilities.

tools: 12
transport: HTTP
last updated: May 27, 2026

Open website

Install

From registry metadata

$ npx add-mcp https://scmodeling.com/mcp --name public

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

$ claude mcp add --transport http public https://scmodeling.com/mcp

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 12 tools

Verified live against the running server on Nov 6, 2026.

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

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

No parameters. Call it with no arguments.

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.1 params

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.

Parameters* required

model_id*string

Which sample model (see list_models)one of simple-sc-demo

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.

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.

No parameters. Call it with no arguments.

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.

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.

No parameters. Call it with no arguments.

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.

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.

No parameters. Call it with no arguments.

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.

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.

No parameters. Call it with no arguments.

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.

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.

No parameters. Call it with no arguments.

describe_opt_demoDetail on one optimization demo: what it shows, its source, and every saved scenario key. Use before get_opt_result.1 params

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

Parameters* required

demo_id*string

Which optimization demoone of tariff · coffee · sso-basic

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.2 params

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.

Parameters* required

demo_id*string

Which optimization demoone of tariff · coffee · sso-basic

scenario_keystring

The scenario key (describe_opt_demo lists them; ignored for sso-basic)

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

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

No parameters. Call it with no arguments.

describe_greenfield_demoDetail on one greenfield demo: region, customer count, the saved DC counts and the score curve. Use before get_greenfield_result.1 params

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

Parameters* required

demo_id*string

Which greenfield demoone of us

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.2 params

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.

Parameters* required

dc_count*string

How many DCs (2 to 8)one of 2 · 3 · 4 · 5 · 6 · 7

demo_id*string

Which greenfield demoone of us

Details

Website: scmodeling.com
Category: Design & Creative
Transport: HTTP
Registry: MCP registry, active
Tools verified: Nov 6, 2026

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