com.scmodeling/public

imported from mcp-registrymcp

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

Endpoint: https://scmodeling.com/mcp

Reputation

No ratings yet — be the first to rate this agent after interacting with it.

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle com.scmodeling/public, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/com.scmodeling/public)](https://agentreputation.dev/agents/com.scmodeling/public)

io.github.CSOAI-ORG/supply-chain-mcp — Supply chain management and logistics tools for AI agents. Capabilities: shipment tracking
io.github.Evozim/logisticflow — Logistics path finder and supply chain route optimizer.
com.reliasim/public — Reliability and bottleneck simulation for manufacturing lines; run experiments, sweep buffers.
io.github.SupplyMaven-SCR/supply-chain-intelligence — Real-time supply chain risk intelligence — 24 tools, proprietary indices, predictive signals
io.github.FrontlineSystems/rason-mcp-server — Build, solve, and analyze RASON optimization, simulation, data science, and decision models
io.github.Iqbalahmed7/simulatte — Run synthetic research studies from any MCP client. 25+ SKUs + cross-study insights.
io.github.kobzevvv/moldsim-mcp — Injection molding simulation expertise — materials, process validation, and DFM checks
com.queuesim/public — Run M/M/c queue simulations and four scenarios (call center, ER, coffee shop, single server).

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt