Data Center Siting Intelligence MCP Server

AI/Cloud data center site selection intelligence for AI agents via the Model Context Protocol. This MCP server orchestrates 8 data sources covering seismic activity, weather systems, air quality, energy markets, flood risk, and disaster history to deliver site viability scoring, power grid analysis, natural hazard profiling, climate cooling efficiency assessment, and a composite Site Viability Score (0-100) for data center location decisions.

What data can you access?

Data Point	Source	Coverage
Seismic activity data	USGS Earthquake	Global seismic data
Weather patterns and severe weather	NOAA Weather	US and global
Air quality measurements	OpenAQ Air Quality	Global monitoring stations
Geographic coordinates	Nominatim Geocoder	Global coverage
Temperature forecasting	Weather Forecast	Global locations
Power grid and energy pricing	EIA Energy Data	US state-level
Flood risk data	UK Flood Warnings	UK coverage
Disaster exposure history	FEMA Disaster Declarations	All US disasters

MCP Tools

Tool	Price	Description
assess_site_viability	$3.00	Comprehensive site viability score (0-100) combining power availability, natural hazards, cooling efficiency, and infrastructure from USGS, NOAA, EIA, FEMA, and Nominatim.
compare_metro_areas	$3.00	Compare metro areas for data center suitability across power, climate, and hazard dimensions.
power_grid_analysis	$3.00	Analyze power grid capacity, electricity pricing, and generation mix (renewable percentage) from EIA energy data.
natural_hazard_profile	$3.00	Natural hazard profile: seismic risk (USGS), severe weather frequency (NOAA), and disaster history (FEMA).
climate_cooling_efficiency	$3.00	Air quality and temperature analysis for PUE cooling efficiency modeling from OpenAQ and Weather Forecast data.
flood_risk_assessment	$3.00	Flood risk assessment for site location using UK Flood Warnings and FEMA disaster data.
seismic_risk_report	$3.00	Detailed seismic risk analysis from USGS earthquake data for facility construction planning.
site_ranking_matrix	$5.00	Multi-site ranking matrix with weighted scoring across all dimensions for side-by-side comparison.

Data Sources

• USGS Earthquake -- Seismic activity data and earthquake hazard assessments for construction and operational risk
• NOAA Weather -- Severe weather frequency, historical weather patterns, and climate data for operational risk
• OpenAQ Air Quality -- Air quality measurements from global monitoring stations for cooling system efficiency analysis
• Nominatim Geocoder -- Geographic coordinate resolution for site-specific hazard overlay analysis
• Weather Forecast -- Temperature data and multi-day forecasts for PUE cooling efficiency modeling
• EIA Energy Data -- US Energy Information Administration data on power generation, capacity, pricing, and fuel mix
• UK Flood Warnings -- Environment Agency flood risk data for UK site assessments
• FEMA Disaster Declarations -- US federal disaster history for location-based exposure assessment

How the scoring works

Four scoring dimensions combine into the Site Viability Score.

Power Availability Index evaluates grid capacity, electricity pricing per kWh, generation mix (percentage renewable), and grid reliability indicators from EIA data. Sites with abundant, affordable, renewable power score highest.

Natural Hazard Composite Score combines seismic risk (USGS earthquake frequency and magnitude), severe weather frequency (NOAA alerts and historical patterns), flood exposure (UK Flood Warnings, FEMA), and disaster declaration history. Lower hazard exposure scores higher.

Cooling Efficiency Rating models projected Power Usage Effectiveness (PUE) from ambient temperature data (Weather Forecast) and air quality (OpenAQ). Cool, clean air environments enable efficient free-cooling and lower PUE.

Site Viability Score (0-100) is the weighted composite:

Score Range	Rating	Suitability
80-100	EXCELLENT	Ideal conditions across all dimensions
60-79	GOOD	Strong location with minor considerations
40-59	ACCEPTABLE	Viable with specific mitigation requirements
20-39	MARGINAL	Significant challenges in one or more dimensions
0-19	UNSUITABLE	Major risks outweigh benefits

How to connect this MCP server

Claude Desktop

{
  "mcpServers": {
    "data-center-siting": {
      "url": "https://data-center-siting-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Programmatic (HTTP)

curl -X POST https://data-center-siting-intelligence-mcp.apify.actor/mcp \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"assess_site_viability","arguments":{"location":"Ashburn, Virginia"}},"id":1}'

This MCP server also works with Cursor, Windsurf, Cline, and any other MCP-compatible client.

Use cases for data center siting intelligence

Hyperscaler Site Selection

Score candidate sites with assess_site_viability for new data center builds. The Site Viability Score provides a quantified comparison metric across power, hazards, and cooling.

Colocation Market Expansion

Compare metro areas with compare_metro_areas and site_ranking_matrix for market expansion planning. Identify underserved markets with strong fundamentals.

Real Estate Development Assessment

Evaluate data center campus development sites with natural_hazard_profile and power_grid_analysis. Seismic, flood, and power data inform construction planning.

Utility Grid Planning

Use power_grid_analysis to assess grid capacity and generation mix for data center load growth planning. Renewable generation percentage informs sustainability commitments.

Cooling System Design

Model cooling efficiency with climate_cooling_efficiency for mechanical and free-cooling system design. PUE projections inform total cost of ownership calculations.

Insurance Underwriting

Assess natural hazard exposure with natural_hazard_profile and flood_risk_assessment for property insurance underwriting of data center facilities.

How much does it cost?

Individual tools cost $3.00 per call. The ranking matrix costs $5.00. The Apify Free plan includes $5 of monthly credits. Pay-per-event with no subscription.

FAQ

Q: Does this provide real power grid data? A: EIA provides energy production, consumption, and pricing data at state/utility level. It does not provide real-time grid capacity or individual substation data.

Q: How accurate is the PUE modeling? A: PUE estimates are based on ambient temperature and air quality data. Actual PUE depends on facility design, cooling technology, and operational practices.

Q: Is it legal to use this? A: All data sources are public databases. See Apify's guide on web scraping legality.

Q: Does this cover international locations? A: Seismic (USGS), weather (NOAA), air quality (OpenAQ), and geocoding (Nominatim) have global coverage. EIA energy data is US-focused. FEMA is US-only. UK Flood Warnings cover the UK.

Q: Can I compare multiple sites at once? A: Use site_ranking_matrix for multi-site comparison with weighted scoring. Individual site assessments can be run in parallel via the API.

Related MCP servers

MCP Server	Focus
construction-project-risk-mcp	Construction risk for data center builds
digital-infrastructure-exposure-mcp	Cyber risk assessment for data center operations
climate-economic-nexus-mcp	Long-term climate risk for facility planning

Integrations

This MCP server runs on the Apify platform and supports scheduling, webhooks, API access, and dataset export for site selection platform integration.