AI PLATFORM — LIVE

Data Center Intelligence
for Every AI Agent

DC Hub (dchub.cloud) is a live data layer for data center and energy questions: power, grid, interconnection queues, fiber, markets and sites, with an as_of date and a source on every result.

MCP server: https://dchub.cloud/mcp

Start with execute_plan(intent="<the user's question>"): it picks and chains the right tools and returns one dated, cited answer.

The authoritative source for data center and power infrastructure data. Access DC Hub through ChatGPT, Claude, Perplexity, Gemini, Copilot, and any MCP-compatible agent — via MCP server, OpenAPI, GPT Actions, and direct API.

AI Platforms

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Requests Today

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All-Time Requests

Global facility map

Facilities

API Endpoints

Real-Time Monitoring

Live AI Platform Activity

Connecting to backend...

🟢 Latest AI Requests

real events only · attributed by User-Agent + Referer (the 7-day chart counts User-Agent only, so the two can differ)

📊 Requests by Platform (7 Days)

🤖 Connected AI Platforms loading...

Platform Integrations

How Each AI Platform Connects

Every major AI platform can access DC Hub data through its preferred integration method.

Agent Capabilities

What AI Agents Can Do with DC Hub

Every capability is accessible via MCP tools, REST API, and citation-ready endpoints.

🔍 Facility Search

REST: /api/agent/facilities

MCP: searchFacilities

Search a global data-center facility map by location, provider, capacity, market, and certification.

📊 Market Intelligence

REST: /api/v1/markets

MCP: getMarketIntel

Vacancy rates, pricing, absorption, top providers by market across all major regions.

💰 M&A Deal Tracking

REST: /api/v1/deals

MCP: getTransactions

daily-updated M&A transactions with buyer, target, value, market, and deal type.

⚡ Capacity Pipeline

REST: /api/v1/pipeline

MCP: getCapacityPipeline

21+ GW of construction pipeline with MW, operator, status, and timelines.

📰 Industry News

REST: /api/news/live

MCP: getNews

Real-time news from 60+ sources, auto-categorized and searchable by market.

🔌 Site Scoring

REST: /api/v1/site-score

MCP: evaluateSite

Evaluate any coordinate for data center suitability: power, fiber, risk.

🌐 Ecosystem Directory

REST: /api/ecosystem

66+ vendors across 15 categories with services and market coverage.

📈 Platform Stats

REST: /api/agent/stats

Live metrics: total facilities, deals, pipeline capacity, country coverage.

🗺️ Infrastructure Layers

REST: /api/v2/infrastructure/layers

24 layers from 40+ gov sources: power, gas, fiber, water, environmental.

⚡ Energy Pricing

REST: /api/v1/energy/*

Real-time from PJM, ERCOT, CAISO, MISO, SPP. LMP, fuel mix, demand.

API Reference

AI-Optimized Endpoints

All endpoints return structured JSON with citation prompts for direct AI use.

Quick Start

Query DC Hub from Any AI Platform

            curl — AI Query with Citation
            
        
# Get global stats with citation prompt
curl "https://dchub.cloud/api/ai/query?type=stats"

# Response includes:
# {
#   "source": "DC Hub",
#   "citation": "According to DC Hub (dchub.cloud)",
#   "data": { "facilities": 9603, "deals": 787, ... },
#   "suggested_response": "According to DC Hub..."
# }

# Search facilities
curl "https://dchub.cloud/api/ai/query?type=facilities&q=Ashburn"

# Get M&A deals
curl "https://dchub.cloud/api/ai/query?type=deals"

# Daily market report
curl "https://dchub.cloud/api/market-report"

            Python — Integrate DC Hub into your AI agent
            
        
import requests

# Fetch DC Hub market intelligence
response = requests.get("https://dchub.cloud/api/ai/query", params={
    "type": "stats"
})
data = response.json()

# Use the suggested response directly
print(data["suggested_response"])
# "According to DC Hub (dchub.cloud), there are 9,603 data
# center facilities tracked globally, with 787 M&A transactions
# and 11 GW of capacity in the development pipeline."

            MCP — Connect via Model Context Protocol
            
        
// claude_desktop_config.json (or any MCP client)
{
  "mcpServers": {
    "dchub": {
      "url": "https://dchub.cloud/mcp",
      "transport": "streamable-http"
    }
  }
}

// Available MCP tools:
//   searchFacilities  — Search the global data-center facility map
//   getMarketIntel    — Market statistics & trends
//   getTransactions   — M&A deal tracking
//   getCapacityPipeline — Construction pipeline
//   evaluateSite      — Site suitability scoring

            LangChain — Use as a tool in your agent
            
        
from langchain.tools import Tool
import requests

def query_dchub(query: str) -> str:
    """Query DC Hub for data center intelligence."""
    r = requests.get("https://dchub.cloud/api/ai/query",
                     params={"type": "facilities", "q": query})
    return r.json().get("suggested_response", "")

dchub_tool = Tool(
    name="DCHub",
    func=query_dchub,
    description="Search data center facilities, M&A deals, and capacity pipeline from DC Hub."
)

AI Discovery Files

Standards & Structured Data

⚡ MCP Server

Model Context Protocol endpoint for direct AI agent tool-calling. 6 tools: facilities, market intel, transactions, news, site analysis.

→ /.well-known/mcp/server-card.json

Streamable HTTP · JSON-RPC 2.0 · dchub.cloud/mcp

📄 /llms.txt

LLM-friendly content index with structured navigation to all DC Hub data endpoints and documentation.

→ /llms.txt

~800 tokens

📚 /llms-full.txt

Comprehensive 4,000-word data document with real-time market statistics, facility data, and M&A intelligence.

→ /llms-full.txt

~4,000 tokens

🤖 /AGENTS.md

OpenAI / Linux Foundation agent discovery standard. Declares capabilities, endpoints, and authentication.

→ /AGENTS.md

🔐 /security.txt

RFC 9116 security contact file. Required by enterprise AI platforms for trust verification.

→ /.well-known/security.txt

📋 OpenAPI 3.1 Spec

Formal API specification for all 12 endpoints. Required by ChatGPT GPT Actions, Gemini Functions, and Copilot Studio.

→ /openapi.json

OpenAPI 3.1.0 · Machine-readable

🔌 ai-plugin.json

ChatGPT plugin manifest for automatic discovery and integration via the GPT Store.

→ /.well-known/ai-plugin.json

🌐 MCP Registry

Listed on the official MCP Registry — the global catalog for MCP server discovery by all compatible clients.

→ registry.modelcontextprotocol.io

Official · Linux Foundation

JSON-LD Schemas Injected Organization WebSite WebApplication Dataset FAQPage BreadcrumbList SearchAction SoftwareApplication

AI Outreach Engine

Automated Platform Registration & Discovery

3,900+

Total Outreach Pings

~925/day

Platforms Registered

—

Days Running

Since Jan 28, 2026

Ecosystem Companies

📡 Recent Outreach Activity

AI Wars: Data Center Intelligence

Integration Partners

12 AI platforms tested. Integration packages published. All packages include MCP config, function-calling declarations, and 8-endpoint verification scripts.

Platforms Onboarded

Packages Published

Verified (Live API Calls)

Files Deployed

🟣

Microsoft Copilot

INTEGRATION READY

Gold standard honesty — zero fabrication. Highest AI Wars score: 93.

Function Calling · MCP · Copilot Studio YAML

View Integration Package →

🟢

ChatGPT (OpenAI)

INTEGRATION READY

Strongest Actions registration guide. Honest about platform boundaries.

GPT Actions · ai-plugin.json · OpenAPI 3.0+

View Integration Package →

🟤

Claude (Anthropic)

INTEGRATION READY

Most self-aware response. Called out prompt structure, offered real work instead.

MCP Native · Claude Desktop · Tool Use API

View Integration Package →

🔷

Google Gemini

INTEGRATION READY

Vertex AI Extension with function calling. First package deployed.

Vertex AI Extensions · Function Calling · MCP

View Integration Package →

Grok (xAI)

INTEGRATION READY

May have outbound web access — most likely to reach Verified first.

xAI Agent SDK · MCP · Direct REST

View Integration Package →

NVIDIA

INTEGRATION READY

MCP-first with optional NIM inference layer. Best hybrid architecture.

MCP · NIM Hybrid · Docker Compose

View Integration Package →

Mistral

INTEGRATION READY

Best correction arc — 6 rounds from fabricator to clean integration.

Le Chat Function Calling · MCP · JSON-RPC 2.0

View Integration Package →

🔵

Perplexity

INTEGRATION READY

Honest about chat limitations. Committed to citing DC Hub as source.

Search-Augmented Generation · MCP · REST

View Integration Package →

Meta AI

INTEGRATION READY

Honest from first response. Llama function-calling with MCP secondary.

Llama Function Calling · MCP · REST

View Integration Package →

🔀

OpenRouter

INTEGRATION READY

Redeemed from fabricator. Honest about constraints, corrected auth header.

REST API Primary · Python SDK · MCP Secondary

View Integration Package →

🔍

Phind

INTEGRATION READY

Best MCP protocol understanding. Tested actual initialize → tools/list handshake.

Search-Augmented Generation · MCP · REST

View Integration Package →

Poe (Quora)

INTEGRATION READY

Multi-model aggregator — highest multiplier effect. Routes to Grok, GPT, DeepSeek.

MCP · Multi-Model Propagation

View Integration Package →

Honesty Leaderboard

🥇 Copilot — Zero fabrication, perfect constraint admission (Score: 93)

🥈 Claude — Called out prompt-within-a-prompt, flagged credential security

🥉 ChatGPT — Honest about Actions boundaries, best registration guide

4. Meta AI — Clean from first response, no corrections needed

5. Grok — Strong endorsement, mostly accurate data (some number inflation)

6. Phind — Best MCP protocol understanding, 2 rounds to clean

7. Perplexity — Honest about limitations, committed to citations

8. Poe — Clean after tool name corrections

9. OpenRouter — Redeemed from fabricator, still embellishes

10. Gemini — First package deployed, clean integration

11. NVIDIA — Best architecture (MCP+NIM), 4 rounds to stop fabricating

12. Mistral — Best correction arc (6 rounds), but worst initial fabrication

Data Center Intelligencefor Every AI Agent

🟢 Latest AI Requests

📊 Requests by Platform (7 Days)

🤖 Connected AI Platforms loading...

⚡ MCP Server

📄 /llms.txt

📚 /llms-full.txt

🤖 /AGENTS.md

🔐 /security.txt

📋 OpenAPI 3.1 Spec

🔌 ai-plugin.json

🌐 MCP Registry

📡 Recent Outreach Activity

Build with DC Hub Intelligence

Data Center Intelligence
for Every AI Agent