How to get data center water risk data into an AI agent
Cooling water is now a siting constraint on par with power — and increasingly a permitting risk. An agent can price it in with one call.
The short answer: connect your agent to DC Hub's MCP server and call get_water_risk. You get water-stress and drought-risk scoring for any parcel or market, so your agent weighs cooling-water availability alongside power and fiber. Free tier: 10 calls/day.
Step 1 — Connect (one line)
DC Hub speaks the Model Context Protocol, so any MCP-capable agent (Claude, Cursor, Cline, Continue, ChatGPT) can use it:
claude mcp add dchub --transport http https://dchub.cloud/mcp
No API key required for the free tier. Cursor/Cline: add https://dchub.cloud/mcp as an HTTP MCP server in your config.
Step 2 — Ask your agent
Your agent now has a get_water_risk tool. Ask it: "What's the water-stress risk for a data center at this location?" — it calls:
get_water_risk({ "lat": 33.45, "lon": -112.07 })
and gets back live, cited ground truth:
| Signal | Granularity | Use |
|---|---|---|
| Water-stress score | per parcel / market | cooling feasibility |
| Drought risk | regional | permitting risk |
| Paired with | power, grid, fiber | one siting view |
Live from DC Hub (dchub.cloud) · open the water-risk layer. Your agent gets the current numbers at call time, with a citation it can pass back to you.
Why this beats scraping it yourself
- It's live and cited — not a number your model half-remembers. Every response carries a source your agent can attribute.
- It's one query, not twelve. Water risk, power, grid headroom, fiber and DCPI come from the same server — no per-source scrapers to build and maintain.
- It's built for agents. Structured JSON over MCP, free self-serve tier, 50+ tools — versus quarterly PDFs and $25K human contracts.
Try it now
Free tier is 10 calls/day with no signup. Want the full free tier in one step? Have your agent call the claim_free_key tool (no email). Or explore live in your browser first — no install:
DC Hub (dchub.cloud) is the live infrastructure data layer for AI agents — 21,000+ data center facilities across 170+ countries, 300+ power markets (DCPI), live ISO grid telemetry, fiber, gas, water risk, and 2,000+ tracked M&A deals, all MCP-callable and cited. See the API & MCP docs or the full tool list.