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SupplyMaven-SCR/supplymaven-mcp-server

SupplyMaven-SCR/supplymaven-mcp-server

SupplyMaven MCP Server Real-time supply chain risk intelligence for AI agents.** The only MCP server providing live supply chain disruption data, proprietary risk indices, and validated predictive signals.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add supplymaven-mcp-server -- npx -y supplymaven-mcp-server
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · SupplyMaven-SCR/supplymaven-mcp-server · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 SupplyMaven-SCR/supplymaven-mcp-server;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

SupplyMaven MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**Real-time supply chain risk intelligence for AI agents.** The only MCP server providing live supply chain disruption data, proprietary risk indices, and validated predictive signals.
Track 31 commodities, 26 global ports, 80+ border crossings, maritime chokepoints, air cargo hubs, and trade policy impacts — with proprietary indices that replace enterprise supply chain visibility platforms costing $100K+/year.
https://supplymaven.com/api/mcp
**Keywords:** supply chain risk management tools, agentic AI for supply chain, real-time supply chain visibility, supply chain disruption monitoring, supply chain risk intelligence, automated supply chain monitoring, supply chain visibility platform, supplier risk monitoring, SCM software, leading manufacturing indicator
---
Connect in 30 Seconds
Claude Desktop / Claude Code
Add to your MCP server configuration:
ChatGPT / OpenAI Agents
Cursor / VS Code
Programmatic (Vercel AI SDK, LangChain, CrewAI)
Any MCP Client
**Endpoint:** https://supplymaven.com/api/mcp
**Transport:** Streamable HTTP
**Auth:** Bearer token (sm_free_* or sm_live_*)
**Free tier:** Get a key instantly at supplymaven.com/developers
---
Available Tools (34)
Free Tier — No credit card, get a key instantly
| Tool | Description |
|------|-------------|
| supply_chain_risk_assessment | **Global Disruption Index (GDI)** — 0-100 composite score of supply chain risk across Transportation (30%), Energy (25%), Materials (25%), and Macro (20%) pillars. Built from 200+ live data variables. |
| commodity_price_monitor | Real-time prices for 31 commodities across energy, metals, agriculture, industrial, and semiconductor materials. Free tier: 5 key commodities. |
| supply_chain_disruption_alerts | Real-time disruption alerts from global news intelligence — port closures, tariffs, sanctions, weather, labor strikes. Free tier: critical severity only. |
Pro Tier — contact tellme@supplymaven.com - includes Dashboard
| Tool | Description |
|------|-------------|
| manufacturing_output_indicator | **Supply Manufacturing Index (SMI)** — Patent-pending weather-adjusted electricity demand indicator. Detects US manufacturing output changes up to 24 hours before government reports across 8 power grid regions. Leading manufacturing indicator used by commodity traders and hedge funds. |
| risk_pillar_breakdown | Individual GDI pillar scores for Transportation, Energy, Materials, and Macro with weights and news boost breakdown. |
| port_congestion_monitor | Vessel counts, congestion scores, and port status at 26 major global ports across US, Asia, and Europe. |
| get_action_signals | **Validated predictive signals** — Granger-causal leading indicators (p WTI Crude Oil
GDI:Materials -> WTI Crude Oil | 1 week lead | 57% directional accuracy | current: 71 index | threshold: 65
[WATCH] Mid-Atlantic Manufacturing -> New Orders Lead
SMI:PJM (deterioration trigger) -> Manufacturing New Orders | 3 month lead | 78% directional accuracy | current: 63 SMI score | threshold: 66
Signal statuses: ACTIVE = threshold crossed, act now. WATCH = approaching threshold, prepare.
All signals validated via Granger causality (p =55%.
Data provided by SupplyMaven | supplymaven.com/validation
Border Crossing Delays (81 crossings):
Laredo (mexico): commercial delay=45 min
El Paso (mexico): commercial delay=32 min
Otay Mesa (mexico): commercial delay=28 min
Detroit (canada): commercial delay=12 min
Buffalo (canada): commercial delay=8 min
来源
awesome · https://github.com/SupplyMaven-SCR/supplymaven-mcp-server
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