Give your AI agent live data-center, grid and fiber data. ⚡ Connect Your AI Agent
Total Requests Served · all-time
—
All-time · across external AI platforms, MCP-transport requests & internal services · breakdown loading
AI PLATFORMS CALLING MCP TOOLS — MEASURING… · — REQUESTS THIS WEEK

The live infrastructure data layer
AI agents query instead of guessing.

Claude. They don't guess about data center markets — they call DC Hub's MCP tools. Global facility map (corroborated count pending) across 170+ countries, with live grid, fiber & market data.

Their agents query live grid, fiber & market signals on demand. Agents without DC Hub are still guessing from static training data that's already outdated.

LISTED ON SMITHERY FOR DATA-CENTER TERMS

DC Hub is listed on the Smithery MCP-server registry for searches on data center, data centers, interconnection, grid interconnection and capacity. Positions measured 2026-09-24 against registry.smithery.ai/servers?q= and listed in full below, including broader energy terms. Re-run it yourself.

—
Platforms calling MCP tools · 30d
—
AI crawler & citation requests · avg/day (7d)
—
AI crawler & citation requests · all-time
—
Agents calling tools · 7d
—
Corroborated count pending
—
REST paths in /openapi.json
⚡ Connect Your AI Agent 🆓 Get Free Dev Key 💳 View Pricing 📋 OpenAPI Spec ⚡ MCP Server
From the people who use it
“DC Hub is now integral to how we evaluate every site. For so long, we’ve had to piecemeal information from multiple sources. DC Hub has it all in one place and provides the clearest picture of infrastructure that we’ve found.”
Rich Bray
Development Manager, LPI Group
More from people and AI agents →
Where AI agents find DC Hub
DC Hub is listed on the Smithery MCP-server registry and comes up in its search for the terms below, measured 2026-09-24 against registry.smithery.ai/servers?q=; re-run it yourself.
data center data centers interconnection grid interconnection capacity power grid power renewables energy grid fiber site selection · not ranked
Each query returned 107–194 servers. Listed rather than dropped: “site selection” is not returned in any of its 186 results.
Also listed on Glama · PulseMCP · LobeHub · mcp.so · Smithery · awesome-mcp-servers · GitHub MCP Registry · the Official MCP Registry — 8 registries (per-registry status)

How these numbers are counted

Named platforms are those with at least one MCP tool call recorded in the last 30 days. Only AI platforms we recognise are counted, so a client we have not classified is not listed even when it calls, and a bot using a recognised platform’s name is counted as that platform. Crawler traffic, test traffic and DC Hub’s own calls are excluded; the live data behind this line shows what was removed and why, and each platform’s count with our own calls added back. A vendor that calls under several client names is listed once. Facility figures count distinct buildings after merging duplicate listings, published as a floor (methodology).

Source, keyless & quotable: /api/v1/ai/reach (7d agents & calls, net-of-top-caller, with the basis for each figure) · /api/agent/stats (platform totals with their query; the facility count is withheld until the corroborated count lands). Reach counts crawler & citation hits by User-Agent; MCP tool calls are a different funnel — both are published separately above and in the payloads, never summed.
Live AI Platform Activity
Loading live data...

🟢 Latest AI Requests

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

📊 Reach by Platform (All Time)

Reach = crawler & citation hits by platform User-Agent — not tool calls. Gemini series: Googlebot (Google Search) is excluded from 2026-09-05; Google's user-triggered Gemini fetchers (Google-Agent, Google-NotebookLM, Google-GeminiNotebook) are counted from 2026-09-26. Figures across those dates are not comparable.

🤖 AI Platforms Seen loading...

Counts below are the per-platform census from /api/ai/tracking and include every client type — assistants, registries, tooling and harvesters alike. That makes them broader than the hero’s “platforms calling MCP tools”, which counts recognised assistant platforms only, so the two figures differ by design. A card can therefore show more 30-day tool calls than any platform the hero names.
Agent → Human Handoff Funnel
Where agent traffic actually converts — distinct sessions · auto-refreshing
Loading funnel…
How Each AI Platform Connects
Every major AI platform can access DC Hub data through its preferred integration method.
What AI Agents Can Do with DC Hub
Every capability is accessible via MCP tools, REST API, and citation-ready endpoints.
AI-Optimized Endpoints
All endpoints return structured JSON with citation prompts for direct AI use.
Add DC Hub to your AI agent stack
DC Hub runs a hosted MCP server at https://dchub.cloud/mcp. Grab a free dev key (get one here) or connect keyless for a trial, then paste a config below — your agent can query a global data-center facility map (corroborated count pending), live grid, fiber, markets & M&A.
Free tier: Anonymous: previews, no key needed. Free key: previews plus 2 full answers per tool per day. Add an email: 50 calls/day (up to 10 full answers per tool per day). Paid plans: dchub.cloud/pricing.
Cursor — one-click install
+ Add DC Hub to Cursor ← click, then swap in your dev key Or edit ~/.cursor/mcp.json directly: { "mcpServers": { "dchub": { "url": "https://dchub.cloud/mcp", "headers": { "X-API-Key": "YOUR_DCHUB_DEV_KEY" } } } }
Windsurf (Cascade) — ~/.codeium/windsurf/mcp_config.json
{ "mcpServers": { "dchub": { "serverUrl": "https://dchub.cloud/mcp", "headers": { "X-API-Key": "YOUR_DCHUB_DEV_KEY" } } } }
Cline — cline_mcp_settings.json
{ "mcpServers": { "dchub": { "type": "streamableHttp", "url": "https://dchub.cloud/mcp", "headers": { "X-API-Key": "YOUR_DCHUB_DEV_KEY" }, "disabled": false } } } # stdio fallback for any client that chokes on Streamable HTTP: npx -y mcp-remote https://dchub.cloud/mcp --header "X-API-Key:YOUR_DCHUB_DEV_KEY"
Mistral Le Chat — Connectors (UI, ~30s)
Le Chat -> Connectors -> + Add Connector -> Custom MCP Connector Name: dchub Server URL: https://dchub.cloud/mcp -> Connect. (For full-tier data, send Authorization: Bearer YOUR_KEY.)
Hugging Face — smolagents (Python)
from huggingface_hub import MCPClient from smolagents import CodeAgent with MCPClient({"url": "https://dchub.cloud/mcp", "headers": {"X-API-Key": "YOUR_DCHUB_DEV_KEY"}}) as tools: agent = CodeAgent(tools=tools, model=model) agent.run("Where can I get 100 MW in PJM, and what's the queue depth?")
Also: Cohere North — add https://dchub.cloud/mcp as a StreamableHTTP custom tool · Claude & ChatGPT — add as a custom MCP connector · You.com & AI-search — we're free to cite; reach out for an API/data partnership.
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": ..., "deals": ..., "capacity_pipeline_mw": ..., "news_articles": ... }, # "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 # a global data-center facility map (corroborated count pending), with 1,700+ tracked M&A transactions # and ... 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: // search_facilities — Search the global facility map // get_market_intel — Market statistics & trends // list_transactions — M&A deal tracking // get_pipeline — Construction pipeline // analyze_site — Site suitability scoring // ...full, current catalog: tools/list
LangChain — Use as a tool in your agent
# pip install langchain-mcp-adapters import asyncio from langchain_mcp_adapters.client import MultiServerMCPClient async def main(): client = MultiServerMCPClient({ "dchub": {"transport": "streamable_http", "url": "https://dchub.cloud/mcp"}, }) tools = await client.get_tools() # every DC Hub tool (see tools/list), keyless (previews, no key or signup needed) # pass `tools` to your LangChain / LangGraph agent asyncio.run(main())
Standards & Structured Data
Organization WebSite WebApplication Dataset FAQPage BreadcrumbList SearchAction SoftwareApplication
Where We Reach AI Agents — Measured, Not Scheduled
Read from the ledgers real outbound writes: directory listing checks, partner email, and agent self-registration. A lane reads Idle when its ledger has not moved — a job that fired and did nothing is not running.
—
Partner emails sent · all-time
—
—
MCP directories listing DC Hub
—
Agent self-registrations · 30d
/ai-agents form, submit_platform tool & API
—
Ecosystem Companies

📡 Recent Outreach Activity

Build with DC Hub Intelligence

Integrate real-time data center market data into your AI application, research pipeline, or investment workflow.

⚡ Connect Your AI Agent 🆓 Get Free Dev Key 💳 View Pricing 📋 OpenAPI Spec ⚡ MCP Server

🚀 Run an AI platform? List it here.

Claude, ChatGPT and Grok call DC Hub’s MCP tools directly (recognised platforms with at least one tool call in the trailing 30 days). Gemini, Perplexity, Copilot and Meta AI reach DC Hub as crawlers and cite it in answers — a different channel, counted separately above, and not tool calls. If you ship an AI platform, agent, or assistant, we’ll add you to the integrations roster — free, no contract, listed by next deploy.