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 15,000+ data centers 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 20K+ data centers
//   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 Intelligence
for 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 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