SCModeling is a remote MCP server that gives an AI agent 11 tools, among them describe_greenfield_demo, describe_opt_demo, explain_greenfield. It answers at https://scmodeling.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 10 September 2026; the last check, on 19 October 2026, succeeded.
Supply-chain network design via simulation, optimization, and greenfield analysis.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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. Inputs: demo_id |
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. Inputs: demo_id |
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 |
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 select |
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 Inputs: demo_id, dc_count |
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 op Inputs: demo_id, scenario_key |
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' quest |
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. |
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. |
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 pr |
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 o Inputs: model_id |
Every block below points at https://scmodeling.com/mcp. Pick your client and copy.
claude mcp add --transport http scmodeling https://scmodeling.com/mcp
{
"mcpServers": {
"scmodeling": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://scmodeling.com/mcp"]
}
}
}{
"mcpServers": {
"scmodeling": {
"url": "https://scmodeling.com/mcp"
}
}
}{
"servers": {
"scmodeling": {
"type": "http",
"url": "https://scmodeling.com/mcp"
}
}
}{
"context_servers": {
"scmodeling": {
"url": "https://scmodeling.com/mcp"
}
}
}{
"mcpServers": {
"scmodeling": {
"serverUrl": "https://scmodeling.com/mcp"
}
}
}{
"mcpServers": {
"scmodeling": {
"url": "https://scmodeling.com/mcp"
}
}
}name: SCModeling
version: 0.0.1
schema: v1
mcpServers:
- name: SCModeling
type: streamable-http
url: https://scmodeling.com/mcp{
"mcpServers": {
"scmodeling": {
"httpUrl": "https://scmodeling.com/mcp"
}
}
}{
"mcpServers": {
"scmodeling": {
"type": "http",
"url": "https://scmodeling.com/mcp"
}
}
}{
"mcpServers": {
"scmodeling": {
"url": "https://scmodeling.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fscmodeling.com%2Fmcp&type=streamable_http&id=scmodeling&name=SCModeling
It answered our last check on 19 October 2026 in 158 ms. Over 6 checks since 10 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by scmodeling.com and served from scmodeling.com, the vendor's own domain: https://scmodeling.com/mcp.
11, as returned by the server's own tools/list on 11 September 2026: describe_greenfield_demo, describe_opt_demo, explain_greenfield, explain_optimization, get_greenfield_result, get_opt_result, get_sc_theory, list_greenfield_demos, and 3 more.
It answered our last check on 19 October 2026 in 158 ms. Over 6 checks since 10 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://scmodeling.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.scmodeling. Endpoint host: scmodeling.com. ARD identifier: urn:air:com.scmodeling:mcp:public.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.