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Dc Hub Data Center Intelligence

@azmartone67

Repository

About Dc Hub Data Center Intelligence

Description: Real-time data center intelligence platform providing MCP access to 20,000+ data center facilities across 140+ countries, M&A transaction tracking, capacity pipeline analytics, energy infrastructure mapping, and industry news from 40+ sources.

#data-center#infrastructure#energy#real-estate#analytics#api#mcp-server

Basic information

Category

Data & Analytics

Transports

stdio

Publisher

azmartone67

Submitted by

Jonathan Martone

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "dchub": {
      "url": "https://dchub.cloud/mcp",
      "description": "Data center intelligence - 20,000+ facilities, 140+ countries, M&A deals, capacity pipeline, energy infrastructure",
      "config": "https://dchub.cloud/.well-known/mcp.json"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Dc Hub Data Center Intelligence?

Dc Hub Data Center Intelligence is an MCP server that provides real-time data center, power, and gas intelligence for AI agents and humans. It exposes 38 tools covering 21,000+ facilities across 170+ countries, 232 markets scored daily by the DC Hub Power Index, live ISO grid telemetry, and more. The server lives at https://dchub.cloud/mcp and uses Streamable HTTP transport.

How to use Dc Hub Data Center Intelligence?

Configure your MCP client with the endpoint https://dchub.cloud/mcp (Streamable HTTP transport). No signup is required for the public API; a free developer key at https://dchub.cloud/signup provides higher rate limits. Paid tiers start at $9/month. Example queries include asking for grid headroom in PJM, AWS data center construction in Ohio, or comparing capacity prices.

Key features of Dc Hub Data Center Intelligence

  • 21,000+ data center facilities across 170+ countries
  • 232 markets scored daily by the DC Hub Power Index (DCPI)
  • Live ISO grid telemetry (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE)
  • 2,000+ tracked M&A transactions + hyperscaler capex
  • 126,427 substations with voltage class and capacity estimates
  • Site factors: fiber routes, water stress, tax incentives, transmission

Use cases of Dc Hub Data Center Intelligence

  • Assess grid headroom and fuel mix across US ISOs in real time
  • Find data center sites near high-voltage substations in a 50km radius
  • Compare market scores (BUILD/CAUTION/AVOID) for different regions
  • Track hyperscaler construction pipelines and recent M&A activity
  • Retrieve fiber route density between major hub cities

FAQ from Dc Hub Data Center Intelligence

What data does Dc Hub Data Center Intelligence provide?

It provides live and historical data on data center facilities, power grids (fuel mix, carbon intensity, prices), natural gas suitability, substations, fiber routes, NEPA filings, and market intelligence scores via the DCPI and DCGI indices.

How do I connect an AI agent to this server?

Use the Streamable HTTP transport at https://dchub.cloud/mcp. The server is available through Cursor, Claude, ChatGPT, Cline, Perplexity, Gemini, Copilot, DeepSeek, and Mistral.

Is there a free tier or do I need an API key?

The public API at /api/v1/ is free with no signup. For higher rate limits, sign up for a free developer key at https://dchub.cloud/signup. Paid tiers ($9–$199/mo) offer increased limits and features.

Where does the data come from and where is it hosted?

Data is sourced from public filings, grid operators, and proprietary models, and stored in a primary Neon Postgres database with Redis caching. The backend runs on Railway with a Render failover; static assets are on Cloudflare R2.

Are there any rate limits or restrictions?

The README does not specify exact MCP rate limits. The free public API tier is available without signup; a developer key unlocks higher limits. Data is licensed under CC-BY-4.0; cite “DC Hub, dchub.cloud” in derivatives.

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