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AI Footprint

Estimate water and energy use

2308 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
4
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://footprint.pharmatools.ai/mcp

What it can do

ToolWhat it says it does
compare_water_useConvert a volume of water (mL) into everyday comparisons: teaspoons, 500 mL bottles, shower time, and lifecycle items (A4 sheet, almond, cup of tea, beef burger), plus the number of typical AI text prompts it equals. Includes the boundary caveat that lifecycle footprints are not like-for-like.
estimate_ai_footprintEstimate the water (mL) and energy (Wh) used by chat-style AI prompts (ChatGPT, Claude, Gemini etc.). queries_per_day: prompts per day. usage: 'simple' (text chat, ~0.34 Wh/prompt), 'mixed' (~1 Wh), 'intensive' (image generation / deep reasoning, ~3 Wh). boundary: 'onsite' (data-centre cooling…
estimate_session_footprintEstimate the water and energy of an AI session (e.g. an agent or coding-assistant run) from its token usage. Pass the SUM across all model calls: input_tokens (uncached prompt tokens), output_tokens (including any reasoning/thinking tokens) and cached_input_tokens (prompt-cache reads)…
get_methodologyReturn the per-prompt energy and water figures, accounting boundaries, sources, limitations, a citation line, and the reasons published AI water estimates differ by ~100x (0.3 mL to 50 mL per prompt). Use it to explain or check a published AI water or energy figure.

In its maker's words

Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.

Website
www.pharmatools.ai/mcp#footprint
Source
github.com/nickjlamb/ai-footprint
Publisher
nickjlamb (6 listings in the registry)
Listed from
the official MCP Registry as io.github.nickjlamb/ai-footprint
Version
1.0.4, updated 13 Oct 2026
Kinds of work
Finance and markets, Search and research, Health and science

The domain it lives on

pharmatools.ai
registered 30 Aug 2024 (2 years ago), at Mesh Digital Limited, its name does not resolve now

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered2308 ms
Answered2973 ms
Answered1532 ms

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