Does this MCP handle different types of cooling systems?

Yes. The MCP is designed to compare various cooling methods. You can use the evaluate_cooling_roi capability to compare your current setup against an alternative, like switching from evaporative to liquid immersion.

Is the water usage calculation accurate for different regions?

The system accounts for regional differences. You can use the get_location_constraints capability to pull specific regulatory and scarcity parameters for any given area, ensuring accuracy.

What kind of data does it provide for sustainability?

It provides both a quantifiable water consumption volume and a specific sustainability risk score. This allows you to report on both the usage and the environmental impact.

Can I use this for planning a new data center?

Absolutely. You can use it to check the location constraints first. This ensures that your planned compute load is compliant with local water laws before you commit to a site.

How do I calculate the water needed for my AI workload?

You can use the calculate_water_consumption capability by providing the compute load, the cooling type, and the Water Usage Effectiveness (WUE) metric.

Can I assess the environmental risk of a specific data center location?

Yes, the assess_sustainability_risk capability evaluates risk based on water volume, local water stress, and regulatory strictness.

How can I determine if switching cooling methods is worth it?

Use the evaluate_cooling_roi capability to compare your current water consumption against a proposed alternative to see the water savings and efficiency gains.

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Connect AI Water Consumption Analytics to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Quantify your data center's environmental impact instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Water Consumption Analytics.

01
Evaluate cooling roi
Compares the current cooling method against a proposed alternative to determine benefits
02
Get location constraints
Retrieves the specific regulatory and scarcity parameters for a given region
03
Calculate water consumption
Determines the total volume of water required to support a specific AI workload
04
Assess sustainability risk
Evaluates the environmental risk posed by the water consumption in a specific location

Real work

What teams actually run

Planning a New Facility

Before breaking ground, run a location check to ensure the site's water scarcity index and regulations allow for your planned compute load.

Optimizing Cooling Systems

Compare your existing evaporative cooling setup against liquid immersion to calculate exactly how much water and money you'll save.

Annual ESG Reporting

Calculate the total water consumption and run a sustainability risk assessment to include in your annual corporate report.

Scaling Compute Capacity

When adding a new cluster, determine the exact water volume required and check the local regulatory parameters immediately.

One connector, every AI

AI Water Consumption Analytics works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put AI Water Consumption Analytics to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

874ms average. Fast in production.

AI Water Consumption Analytics is checked daily against the live service.

Daily averagePeak 1108ms

Oct 3Today

Fastest day: 681ms
Slowest day: 1108ms
14-day trend: Stable+4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Water Consumption Analytics, so you can see the experience inside your AI.

It does not authenticate your account with AI Water Consumption Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Water Consumption Analytics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Hbu9QD1KnXuEOJgHz6mGT7LxqwfmmR5josDRNj7S/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — AI Water Consumption Analytics capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-water-consumption-analytics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Hbu9QD1KnXuEOJgHz6mGT7LxqwfmmR5josDRNj7S/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up AI Water Consumption Analytics in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Water Consumption Analytics owners hand off.

This MCP is built for infrastructure architects and sustainability teams who need to prove their data center's environmental compliance. If your job involves calculating operational costs or managing ESG reporting, this capability gives you the data you need.

01
Data Center Operations Manager
Use it to calculate the water consumption of new compute loads and plan cooling upgrades.
02
Sustainability Consultant
Run risk assessments to quantify the environmental impact of your facility in specific regions.
03
Infrastructure Architect
Compare different cooling technologies to determine the best ROI for facility expansion.

FAQ

Questions AI Water Consumption Analytics owners ask.

01
Does this MCP handle different types of cooling systems?
Yes. The MCP is designed to compare various cooling methods. You can use the evaluate_cooling_roi capability to compare your current setup against an alternative, like switching from evaporative to liquid immersion.
02
Is the water usage calculation accurate for different regions?
The system accounts for regional differences. You can use the get_location_constraints capability to pull specific regulatory and scarcity parameters for any given area, ensuring accuracy.
03
What kind of data does it provide for sustainability?
It provides both a quantifiable water consumption volume and a specific sustainability risk score. This allows you to report on both the usage and the environmental impact.
04
Can I use this for planning a new data center?
Absolutely. You can use it to check the location constraints first. This ensures that your planned compute load is compliant with local water laws before you commit to a site.
05
How do I calculate the water needed for my AI workload?
You can use the calculate_water_consumption capability by providing the compute load, the cooling type, and the Water Usage Effectiveness (WUE) metric.
06
Can I assess the environmental risk of a specific data center location?
Yes, the assess_sustainability_risk capability evaluates risk based on water volume, local water stress, and regulatory strictness.
07
How can I determine if switching cooling methods is worth it?
Use the evaluate_cooling_roi capability to compare your current water consumption against a proposed alternative to see the water savings and efficiency gains.

Explore

More in Analytics

Connect AI Water Consumption Analytics to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Evaluate cooling roi

Get location constraints

Calculate water consumption

Assess sustainability risk

What teams actually run

Planning a New Facility

Optimizing Cooling Systems

Annual ESG Reporting

Scaling Compute Capacity

Building your own app? The connector is yours to use.

AI Water Consumption Analytics Connector

Claude Desktop

Data Center Operations Manager

Sustainability Consultant

Infrastructure Architect

Does this MCP handle different types of cooling systems?

Is the water usage calculation accurate for different regions?

What kind of data does it provide for sustainability?

Can I use this for planning a new data center?

How do I calculate the water needed for my AI workload?

Can I assess the environmental risk of a specific data center location?

How can I determine if switching cooling methods is worth it?

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