# SCModeling

- Registry name: `com.scmodeling/public` · version 1.0.1
- Categories (automatic, keyword rules): Markets & trading, Finance & markets, Maps, location & weather, Research & knowledge, Search & data
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=com.scmodeling%2Fpublic
- Server page: https://mcpstation.net/s/com.scmodeling--public.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://scmodeling.com/mcp`

## Tools (as reported by the server, not verified)

- `run\_simulation`: Run a supply-chain simulation on a bundled SCModeling sample model \(sdi-db\). Returns metrics, inventory time-series, orders, shipments, routing and BOM. ANTI-FABRICATION: the returned numbers come from a real discrete-event simulation run on the sc-sim engine. Quote them VERBATIM in your reply. Do n
- `list\_models`: List the bundled SCModeling sample supply-chain models. Returns a catalog with each model's id and a short description. Use this before run\_simulation to know which model\_id values are valid.
- `get\_sc\_theory`: Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does this work' question rather than asking for a number.
- `explain\_optimization`: Reference text on supply-chain network optimization — mixed-integer programming \(MIP\), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes \(facility selection, sourcing, flow constraints, multi-period, BOM/productio
- `explain\_greenfield`: Reference text on greenfield analysis — clean-slate facility-location math. Covers the weighted center-of-gravity \(Weber\) formulation, Weiszfeld's iterative algorithm, Lloyd's-style alternating location-allocation for N facilities, service constraints \(% demand vs % customers within a distance band\)
- `explain\_simulation`: Reference text on supply-chain simulation — how a discrete-event model of a network behaves through time. Covers event-driven execution \(future-event list, the consume / check-inventory / place-order / fill / ship / deliver vocabulary\), why inventory POSITION rather than on-hand stock drives reorder
- `list\_opt\_demos`: List the bundled SCModeling optimization demos. Returns id + label + one-line summary for each \(Tariff, Coffee Co-pack, SSO Basic\). Use this before describe\_opt\_demo or get\_opt\_result to know which demo\_id values are valid. All demos are precomputed sample-only fixtures — for optimization on real cl
- `describe\_opt\_demo`: Full detail on one optimization demo — controls, available scenario keys, sites, fixed parameters, citations, and the key finding the demo illustrates. Use this before get\_opt\_result to know what scenario\_key values are accepted.
- `get\_opt\_result`: Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON \(AMOS for tariff/coffee, SSO output for sso-basic\) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric
- `list\_greenfield\_demos`: List the bundled SCModeling greenfield demos. Returns id + label + one-line summary. Currently one demo \(US, 189 customer points\). Use this before describe\_greenfield\_demo or get\_greenfield\_result.
- `describe\_greenfield\_demo`: Full detail on one greenfield demo — region, customer count, available dc\_count values, and the score-curve elbow finding. Use this before get\_greenfield\_result to know what dc\_count values are precomputed.
- `get\_greenfield\_result`: Get the precomputed result for one DC count of a greenfield demo. Returns sited DCs \(lat/lon + city/state, nearest-city snapped\), customer-to-DC assignments, and the score for that DC count. ANTI-FABRICATION: every result is verbatim engine output from greenfield-cli — quote them in your reply, do n

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