Which integrations are available for this server?

Provides programmatic access to supply chain intelligence tools via CrewAI, enabling integration of real-time supply chain data, disruption alerts, and predictive signals into AI applications and workflows. Provides programmatic access to supply chain intelligence tools via LangChain, enabling integration of real-time supply chain data, disruption alerts, and predictive signals into AI applications and workflows. Provides real-time supply chain risk intelligence tools for ChatGPT/OpenAI Agents, including global disruption indices, commodity price monitoring, manufacturing indicators, port congestion data, and predictive signals for supply chain decision-making. Provides programmatic access to supply chain intelligence tools via Vercel AI SDK, enabling integration of real-time supply chain data, disruption alerts, and predictive signals into AI applications and workflows.

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.

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:

{
  "mcpServers": {
    "supplymaven": {
      "url": "https://supplymaven.com/api/mcp",
      "headers": {
        "Authorization": "Bearer sm_free_your_key_here"
      }
    }
  }
}

ChatGPT / OpenAI Agents

Endpoint: https://supplymaven.com/api/mcp
Transport: Streamable HTTP
Auth: Bearer sm_free_your_key_here

Cursor / VS Code

{
  "mcpServers": {
    "supplymaven": {
      "type": "http",
      "url": "https://supplymaven.com/api/mcp",
      "headers": {
        "Authorization": "Bearer sm_free_your_key_here"
      }
    }
  }
}

Programmatic (Vercel AI SDK, LangChain, CrewAI)

import { experimental_createMCPClient } from "ai";

const client = await experimental_createMCPClient({
  transport: {
    type: "sse",
    url: "https://supplymaven.com/api/mcp",
  }
});

const tools = await client.tools();
// 24 supply chain intelligence tools ready

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 (24)

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 — $499/month - 10,000 queries/day - 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<=0.01) evaluated against live data. ACTIVE/WATCH/CLEAR status with directional accuracy and lag times.
`get_border_delays`	Real-time US-Mexico and US-Canada commercial border crossing wait times. 80+ crossings updated every 30 minutes from CBP.
`get_chokepoint_traffic`	Maritime chokepoint vessel traffic — Suez Canal, Panama Canal, Strait of Malacca, Strait of Hormuz, and other strategic waterways.
`get_air_cargo_disruptions`	Air cargo disruption status at 39 US and international airports. FAA ground delays, ground stops, disruption scores, and traffic collapse detection.
`get_trade_policy_impacts`	Active tariffs, sanctions, export controls, and policy changes impacting supply chain risk. Persists beyond news cycle — shows ongoing GDI score impact.
`get_energy_breakdown`	Disaggregated US energy market data — crude oil, natural gas, retail fuel, refinery utilization, storage levels, and petroleum trade flows.
`get_rail_freight_status`	US freight rail performance — train speed, terminal dwell time, carloadings, intermodal units, and grain transport rates from STB/AAR/USDA.
`get_freight_transportation_index`	BTS Transportation Services Index, truck tonnage, rail carloadings, rail intermodal, waterborne freight, and inventory-to-sales ratio.
`get_economic_indicators`	FRED economic data, Producer Price Index, NY Fed Global Supply Chain Pressure Index, and EIA STEO energy forecasts.

Signal Tier — $999/month - 25,000 queries/day - includes everything in Pro

Tool	Description
`get_predictive_signals`	58 Granger-causal leading indicators with ACTIVE/WATCH/CLEAR status. Predicts commodity prices, manufacturing shifts, and macroeconomic changes 1 week to 6 months ahead. Filter by tier, status, or predictor group.
`get_manufacturing_anomalies`	Electricity demand anomaly detection across 8 US grid regions. Patent-pending weather normalization isolates industrial demand. Current SMI score with regional breakdown plus 7-day anomaly history ranked by severity.
`get_supply_chain_weekly_brief`	Executive-level weekly situation report combining GDI pillar scores, manufacturing output, port congestion, active predictive signals, top disruption events, and key takeaways in a single call.
`get_signal_narratives`	Plain-language explanations of signal mechanisms and economic logic for each of the 58 predictive signals. Suitable for executive briefings, client reports, and AI agent reasoning chains.
`get_energy_forecast`	EIA Short-Term Energy Outlook forward-looking projections — crude oil production, natural gas prices, electricity generation, renewable capacity, and more. Actual vs forecast comparison with 1,467 tracked series.
`get_gdi_trend_analysis`	GDI risk direction, velocity, acceleration, and pillar-level momentum over 7/14/30/90-day windows. Detects regime changes and trend reversals before they show in the headline number.
`get_commodity_volatility_alerts`	Abnormal commodity price movement detection across 31 commodities. Flags unusual 24-hour changes that may signal supply disruptions, demand shifts, or speculative activity.
`get_port_congestion_trends`	Port congestion trajectory and acceleration versus historical baselines at 26 global ports. Direction of change matters more than point-in-time score.
`get_intelligence_briefs`	AI-generated hourly analytical briefs per supply chain dimension — energy, materials, transportation, macro, and manufacturing. Cross-pillar awareness with anti-hallucination safeguards.

Example Responses

`supply_chain_risk_assessment`

Global Disruption Index: 58.4
Data quality: GOOD
Needs attention: true
Last updated: 2026-04-04T14:30:00.000Z

Data provided by SupplyMaven | supplymaven.com/validation

`manufacturing_output_indicator`

Supply Maven Manufacturing Index (lower = stronger):
  National: 44.2 — NORMAL

Regional Breakdown:
  MISO: 41.3 (NORMAL)
  ERCO: 38.7 (NORMAL)
  PJM: 52.1 (BELOW TREND)
  SWPP: 40.5 (NORMAL)
  CISO: 46.8 (NORMAL)
  ISNE: 44.9 (NORMAL)
  NYIS: 48.2 (NORMAL)
  NW: 43.1 (NORMAL)

Data provided by SupplyMaven | supplymaven.com/validation

`get_action_signals`

Action Signals — 3 ACTIVE, 4 WATCH (7 total triggered):

  [ACTIVE] Materials Stress -> 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<=0.01) with directional accuracy >=55%.

Data provided by SupplyMaven | supplymaven.com/validation

`get_border_delays`

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

Avg delay: 22 min | High delay (>30min): 8 crossings | Critical (>60min): 2

Data provided by SupplyMaven | supplymaven.com/validation

`get_chokepoint_traffic`

Maritime Chokepoint Traffic (8 chokepoints, aggregate score: 42.5):
  Suez Canal: score=62.4 level=ELEVATED vessels=47 slow=5 stationary=2 avg_speed=8.2kn
  Panama Canal: score=51.3 level=ELEVATED vessels=32 slow=3 stationary=1 avg_speed=6.8kn
  Strait of Malacca: score=45.1 level=NORMAL vessels=89 slow=8 stationary=3 avg_speed=10.4kn
  Strait of Hormuz: score=38.7 level=NORMAL vessels=41 slow=2 stationary=0 avg_speed=11.1kn

Data provided by SupplyMaven | supplymaven.com/validation

Use Cases

Procurement AI Copilots — Your users ask "should we accelerate this copper order?" With SupplyMaven, your agent checks live materials stress, port congestion, validated commodity signals, and GDI pillar scores before answering with a defensible recommendation.

Trading and Quant Models — Government manufacturing reports come out monthly. The SMI updates hourly from EIA electricity demand data — the same physical signal that precedes manufacturing shifts by 6-24 hours. Commodity price signals with validated Granger lag times tell you which market to watch and when.

Enterprise Risk Dashboards — Embed live GDI scores, pillar breakdowns, and action signals in your internal tools. When the Transportation pillar spikes, the chatbot flags it before your logistics team sees the delay.

Logistics Routing Agents — Feed port congestion, border delays, chokepoint traffic, and air cargo disruption data into route optimization workflows.

Data Coverage

31 Commodities — Energy, metals, agriculture, industrial materials, semiconductor materials
26 Global Ports — US (LA, Long Beach, Houston, Savannah, NY/NJ), Asia (Shanghai, Singapore, Busan), Europe (Rotterdam, Hamburg, Antwerp)
80+ Border Crossings — US-Mexico and US-Canada commercial wait times from CBP
12 Maritime Chokepoints — Suez, Panama, Malacca, Hormuz, Bab el-Mandeb, and more
39 Airports — Major US and international cargo hubs with FAA status
8 US Energy Grid Regions — Real-time electricity demand from EIA
Trade Policy Tracking — Active tariffs, sanctions, and export controls
US Freight Rail — Train speed, dwell time, carloadings, intermodal from STB/AAR
Freight Transportation Index — BTS TSI, truck tonnage, waterborne freight
Energy Market Data — Crude, natural gas, retail fuel, refinery, storage, trade flows
Macroeconomic Indicators — FRED, PPI, Global Supply Chain Pressure Index, EIA STEO forecasts

Proprietary Indices

Global Disruption Index (GDI)

A 0-100 composite score quantifying overall supply chain disruption risk. Combines four weighted pillars — Transportation (30%), Energy (25%), Materials (25%), Macro (20%). Recalculates every 15 minutes. Higher = more risk.

Supply Maven Manufacturing Index (SMI)

A patent-pending index that measures US manufacturing activity by analyzing weather-normalized electricity demand across 8 power grid regions. Detects manufacturing output changes up to 24 hours before official government reports. Formula: NMS = RMD x (1 - ((CDD x alpha) + (HDD x beta))). Validated against 9 FRED benchmarks with IPMAN correlation of +0.646.

Validated Predictive Signals

58 Granger-causal signals tested at p<=0.01 with directional accuracy >=55%. Each signal has a known lag time (how far ahead it predicts) and is evaluated against live data every 15 minutes. Organized in 3 tiers by statistical confidence.

Pricing

Plan	Price	Queries/Day	Tools
Free	$0	100	3 tools (GDI, 5 commodities, critical alerts)
Pro	$499/month	10,000	15 tools + Dashboard access, full-resolution data
Signal	$999/month	25,000	All 24 tools — everything in Pro + predictive signals, anomaly detection, forecasts, trend analysis, volatility alerts, intelligence briefs, weekly briefs

Get a free API key instantly at supplymaven.com/developers

About

SupplyMaven is built by Eos Group, LLC. The platform monitors over 200 data variables in real time, sourced from government agencies (EIA, USDA, CBP, BLS, Federal Reserve, FAA, NOAA), commodity markets, global vessel tracking (AIS/Datalastic), and news intelligence feeds.

SupplyMaven — Enterprise-grade supply chain intelligence for AI agents.

SupplyMaven API Pro