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Data Center Siting Intelligence MCP Server

@apifyforge

代码仓库主页文档

基本信息

分类

数据与分析

许可证

MIT

认证方式

oauth

作者

apifyforge

关于 Data Center Siting Intelligence MCP Server

Data center site selection intelligence, delivered as an MCP server your AI agent can call directly.

Data Center Siting Intelligence MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Data Center Siting Intelligence MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证，获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Data Center Siting Intelligence?

Data Center Siting Intelligence is an MCP server that queries eight government data sources — USGS seismic catalogs, NOAA weather alerts, OpenAQ air quality, EIA power grid data, FEMA disaster records, UK flood warnings, Nominatim geocoding, and weather forecasts — and synthesizes them through four scoring models into a composite Site Viability Score (0–100) for any candidate location. It is designed for data center real estate teams, hyperscaler infrastructure planners, and colocation operators who need machine-readable site assessments.

How to use Data Center Siting Intelligence?

Add the server URL to your MCP client (Claude Desktop, Cursor, Windsurf) using the provided JSON configuration and your Apify API token. Choose a tool (e.g., site_ranking_matrix for a full assessment), provide a location (city, address, or metro area), and receive a structured JSON report with scores, verdict, signals, and recommendations within 30–60 seconds.

Key features of Data Center Siting Intelligence

  • 8 parallel data sources queried simultaneously per tool call
  • 4 independent scoring models for power, hazards, cooling, and viability
  • Weighted composite formula reflecting capital planning priorities
  • Verdict override logic for extreme hazards or insufficient power
  • Power grid diversity scoring with renewable energy signal detection
  • Grid reliability derived from FEMA disaster history

Use cases of Data Center Siting Intelligence

  • Hyperscaler site selection and capital committee reporting
  • Colocation operator market expansion and metro area benchmarking
  • Real estate developer due diligence for land parcel acquisition
  • Energy procurement and PPA planning using power mix analysis
  • PUE-driven facility engineering with cooling efficiency modeling
  • Insurance underwriting for critical infrastructure risk assessment

常见问题

1

What is the pricing model?

Each tool call costs $0.045, with pay-per-event pricing, no subscription, no minimum, and no per-seat fee.

2

Which data sources are used and what is their geographic coverage?

The server queries eight sources: USGS (global seismic), NOAA (global weather alerts), OpenAQ (10,000+ global stations), EIA (US state-level electricity data), FEMA (all US disaster declarations), UK Flood Warnings (England and Wales), Nominatim (global geocoding), and Weather Forecast Search (global).

3

How do I get started?

Add the server URL to your MCP client configuration using the example JSON, provide your Apify API token, and call any tool with a location input.

4

What tools are available?

Eight tools are provided, including `site_ranking_matrix` (full composite ranking), `power_grid_analysis`, `natural_hazard_profile`, `climate_cooling_efficiency`, `flood_risk_assessment`, `seismic_risk_report`, `assess_site_viability`, and `compare_metro_areas`.

5

How is the Site Viability Score calculated?

The composite score weights power availability 30%, natural hazard inversion 25%, cooling efficiency 25%, and site viability 20%. Verdict override logic automatically sets NOT_RECOMMENDED for extreme hazard levels or insufficient power.

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