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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Wems

heliosarchitect/wems-mcp-server
1STDIOregistry active
Summary

Pulls live hazard data from USGS, NOAA, Smithsonian GVP, and a dozen other authoritative sources into your Claude context. You get tools for earthquakes, tsunamis, volcanoes, solar flares, hurricanes, wildfires, air quality, and threat advisories with configurable magnitude and region filters. Ships with webhook support for alerts and a Docker setup for production deployments. The repo includes Stripe metering scaffolding with tiered pricing starting at a tenth of a cent per call after 5,000 free monthly requests. Useful for risk monitoring dashboards, news automation, or any workflow where you need programmatic access to natural hazard feeds without scraping government sites yourself.

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🌍 WEMS - World Event Monitoring System

PyPI version License: MIT Python 3.8+ MCP Compatible

🚨 Real-time Natural Hazard Monitoring for AI Agents

A powerful Model Context Protocol (MCP) server that connects AI assistants to authoritative natural hazard data sources. Monitor earthquakes, tsunamis, volcanoes, and solar events with configurable alerts and webhooks.

🤖 AI Agents: Skip scanning this repo. Read AI.TOC first — it's a 500-token project map. Then use AI.INDEX to find specific functions and AI.REGISTER for env vars, APIs, and config. This project uses the LBF AI Navigation Standard.

⚡ Key Features

  • 🌋 9+ Authoritative Data Sources: USGS, NOAA, Smithsonian GVP, NHC, NIFC, OpenAQ, DHS, State Dept, CISA, US Drought Monitor
  • 🎯 Real-time Monitoring: Live data feeds with customizable thresholds
  • 🔔 Smart Alerts: Webhook notifications for critical events
  • 🗺️ Geographic Filtering: Target specific regions or global coverage
  • 🔧 Zero Configuration: Works out-of-the-box, configure only what you need
  • 🐳 Production Ready: Docker support, comprehensive error handling

Natural Hazards Covered

Hazard TypeData SourceCoverage
🌊 EarthquakesUSGSGlobal, magnitude filtering
🌊 TsunamisNOAA PTWC + CTWCGlobal ocean basins
🌋 VolcanoesSmithsonian GVP + USGSGlobal volcanic activity
☀️ Solar EventsNOAA SWPCSolar flares, CMEs, geomagnetic storms
🌞 Space Weather AlertsNOAA SWPCActive space weather alerts & warnings
🌀 HurricanesNHC + NWSAtlantic & Pacific tropical cyclones
🔥 WildfiresNWS + NIFCFire weather alerts & active perimeters
⛈️ Severe WeatherNWS AlertsTornadoes, thunderstorms, floods, winter storms
💨 Air QualityOpenAQGlobal AQI, PM2.5, PM10, O₃, NO₂, SO₂, CO
🌵 Drought ConditionsUS Drought MonitorUS state drought levels (D0-D4) + trends
🛡️ Threat AdvisoriesDHS NTAS + State Dept + CISATerrorism, travel risk, cyber threats

🚀 Quick Start

Install via PyPI (Recommended)

pip install wems-mcp-server

Or install from source

git clone https://github.com/heliosarchitect/wems-mcp-server.git
cd wems-mcp-server
pip install -r requirements.txt

Basic Usage

# Run as MCP server (connects to AI assistants)
python -m wems_mcp_server

# Test earthquake monitoring
python -c "
import asyncio
from wems_mcp_server import check_earthquakes
print(asyncio.run(check_earthquakes(min_magnitude=6.0)))
"

One-command AI Alerting Setup (Relay + n8n)

bash scripts/setup_wems_alerting_ai.sh

This will:

  • install/start wems-unified-relay.service
  • upsert and activate the unified n8n ingest workflow
  • wire tracker posting credentials automatically

Example Output

{
  "earthquakes_found": 3,
  "events": [
    {
      "magnitude": 7.2,
      "location": "67 km SW of Tres Picos, Mexico",
      "time": "2024-02-13T14:30:15Z",
      "depth": 35.8,
      "tsunami_threat": true
    }
  ]
}

MCP Tools

ToolDescription
check_earthquakesQuery recent earthquake activity
check_solarMonitor space weather (K-index, flares, CMEs)
check_volcanoesTrack volcanic activity alerts
check_tsunamisMonitor tsunami warnings
check_hurricanesTrack tropical cyclones & forecast tracks
check_wildfiresFire weather alerts & active perimeters
check_severe_weatherMonitor tornadoes, thunderstorms, flash floods
check_floodsFlood warnings & USGS river gauge data
check_air_qualityAQI monitoring with pollutant data
check_threat_advisoriesTerrorism, travel risk & cyber threat monitoring
check_space_weather_alertsActive space weather alerts & warnings from NOAA SWPC
check_drought_statusUS state drought conditions with D0-D4 levels (Premium)
configure_alertsUpdate alert thresholds and webhooks
fuse_multi_source_incidentsMulti-source incident fusion (feature-flagged)

Configuration

alerts:
  earthquake:
    min_magnitude: 6.0
    regions: ["US", "Caribbean", "Pacific"]
    webhook: "https://your-endpoint.com/earthquake"
  
  solar:
    min_kp_index: 7  # Geomagnetic storm threshold
    webhook: "https://your-endpoint.com/solar"
    
  volcano:
    alert_levels: ["WARNING", "WATCH"]
    webhook: "https://your-endpoint.com/volcano"
    
  tsunami:
    enabled: true
    regions: ["pacific", "atlantic", "indian"]
    webhook: "https://your-endpoint.com/tsunami"

Data Sources

  • USGS Earthquake Hazards Program
  • NOAA Pacific Tsunami Warning Center
  • NOAA Central Tsunami Warning Center
  • Smithsonian Global Volcanism Program
  • NOAA Space Weather Prediction Center
  • National Hurricane Center (NHC)
  • National Interagency Fire Center (NIFC)
  • NWS Alerts API
  • OpenAQ (Global Air Quality)
  • DHS National Terrorism Advisory System (NTAS)
  • U.S. State Department Travel Advisories
  • CISA Cybersecurity Advisories

OpenClaw Integration

Add to your OpenClaw configuration:

{
  "mcpServers": {
    "wems": {
      "command": "python3",
      "args": ["/path/to/wems-mcp-server/wems_mcp_server.py"],
      "env": {
        "WEMS_CONFIG": "/path/to/config.yaml"
      }
    }
  }
}

🎯 Use Cases

  • 🏢 Enterprise Risk Management: Automated threat assessment for global operations
  • 📺 News Organizations: Real-time natural disaster reporting and alerts
  • 🔬 Research Institutions: Data collection for scientific analysis
  • 🏠 Personal Safety: Location-specific hazard monitoring for families
  • 🤖 AI Emergency Response: Integration with disaster response chatbots
  • 📱 Alert Systems: Custom notification workflows for critical events

🔧 Advanced Configuration

# config.yaml - Full customization example
alerts:
  earthquake:
    min_magnitude: 6.0
    regions: ["US", "Caribbean", "Pacific"]
    webhook: "https://your-endpoint.com/earthquake"
    
  solar:
    min_kp_index: 7  # G3+ geomagnetic storm
    webhook: "https://your-endpoint.com/solar"
    
  volcano:
    alert_levels: ["WARNING", "WATCH"] 
    regions: ["Cascade Range", "Ring of Fire"]
    webhook: "https://your-endpoint.com/volcano"
    
  tsunami:
    enabled: true
    regions: ["pacific", "atlantic", "indian"]
    webhook: "https://your-endpoint.com/tsunami"

📊 Monitoring Dashboard

Pair with monitoring tools for comprehensive coverage:

# Example: Send earthquake data to monitoring system
curl -X POST https://your-monitoring.com/api/events \
  -H "Content-Type: application/json" \
  -d "$(python -c 'import wems; print(wems.get_recent_earthquakes())')"

💳 Billing & Monetization (Current)

WEMS now includes Stripe metering scaffolding and affordable default pricing.

Current pricing defaults

  • Free tier: 5,000 calls per rolling 30 days
  • 0–100,000 calls: $0.0010/call
  • 100,001–500,000 calls: $0.0008/call
  • 500,001+ calls: $0.0006/call

Accessory call weights (default)

  • Most tools: 1 unit
  • check_space_weather_alerts: 2 units
  • fuse_multi_source_incidents: 3 units

Billing config

See: config/wems_stripe_billing.json

Key fields:

  • event_name
  • api_key_to_customer
  • billing_units.default
  • billing_units.by_tool
  • pricing.free_calls_per_rolling_30d
  • pricing.tiers[]

Stripe key source

  1. STRIPE_API_KEY or STRIPE_SECRET_KEY (direct env)

WEMS uses best-effort lookup and never blocks alerting if billing key resolution fails.


Built with ❤️ for the AI community by Helios 🌞

Part of the expanding OpenClaw ecosystem

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Registryactive
Packagewems-mcp-server
TransportSTDIO
UpdatedFeb 14, 2026
View on GitHub