AI Water Consumption Analytics

AI Water Consumption Analytics MCP Connector for Claude

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Calculate water usage, sustainability risk, and cooling ROI for AI data centers.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides precise environmental impact modeling for AI compute workloads. It allows agents to determine the total volume of water required for cooling using calculate_water_consumption, evaluate environmental impact via assess_sustainability_risk, and compare cooling technologies with evaluate_cooling_roi. It also provides regional environmental parameters through get_location_constraints to ensure compliance with local water scarcity and regulations.

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4 tools expose this connector's capabilities to your AI agent.

evaluate_cooling_roi

Compares the current cooling method against a proposed alternative to determine benefits

get_location_constraints

Retrieves the specific regulatory and scarcity parameters for a given region

calculate_water_consumption

Determines the total volume of water required to support a specific AI workload

assess_sustainability_risk

Evaluates the environmental risk posed by the water consumption in a specific location

See how to talk to your AI agent using AI Water Consumption Analytics.

How much water will a compute load of 500 units require if using evaporative cooling with a WUE of 1.5?

The total water consumption for a compute load of 500 units with an evaporative cooling system and a WUE of 1.5 is 750 gallons.

What is the sustainability risk for consuming 1000 gallons in a region with a water stress index of 0.8 and regulatory strictness of 0.5?

The sustainability risk score is 400, which falls into the High risk level.

If I switch from evaporative cooling (WUE 2.0) to liquid immersion (WUE 1.1) for a 1000 gallon consumption, how much water will I save?

By switching to liquid immersion, you will save 550 gallons of water, representing a 45% efficiency gain.

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

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