INDIVIDUAL MCP TOOL

get_sc_theory

Reference guide to supply-chain simulation concepts: ordering policies, BOM, FDD formulas, event-driven simulation.

scmodeling.comnone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.scmodeling]
url = "https://scmodeling.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "scmodeling": {
      "type": "http",
      "url": "https://scmodeling.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: scmodeling
Remote MCP URL: https://scmodeling.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "scmodeling": {
      "url": "https://scmodeling.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "scmodeling": {
      "type": "http",
      "url": "https://scmodeling.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "scmodeling",
  "transport": "streamable-http",
  "url": "https://scmodeling.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

run_simulation — Run a supply-chain simulation on a bundled SCModeling sample model (sdi-db).
list_models — List the bundled SCModeling sample supply-chain models.
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/production, multi-objective).
explain_greenfield — Reference text on greenfield analysis — clean-slate facility-location math.
list_opt_demos — List the bundled SCModeling optimization demos.
describe_opt_demo — Full detail on one optimization demo — controls, available scenario keys, sites, fixed parameters, citations, and the key finding the demo illustrates.
get_opt_result — Get the precomputed result for one scenario of an optimization demo.
list_greenfield_demos — List the bundled SCModeling greenfield demos.