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AI Footprint

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

Connector by nickjlamb · GitHub account verified by the MCP Registry

IndexedMITRemote (HTTP)★ 1
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Install

Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install connector/nickjlamb-ai-footprint

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://footprint.pharmatools.ai/mcp Remote (HTTP)

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About

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

Reviews

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No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools
4 read · 0 write · 0 deleteRead-only
Secrets
None asked for
Install scripts
Nothing to install (hosted)
Runs as
Hosted (remote endpoint)

Tools by what they do 4

From the running server's own tool list (tools/list) on Oct 25, 2026.

Read 4 · Look things up without changing anything.

  • compare_water_use
  • estimate_ai_footprint
  • estimate_session_footprint
  • get_methodology

Network hosts it talks to 10

  • arxiv.org · found in code
  • cloud.google.com · found in code
  • datacenterdynamics.com · found in code
  • doi.org · found in code
  • epoch.ai · found in code
  • footprint.pharmatools.ai · found in remote endpoint, install command, code
  • github.com · found in code
  • glama.ai · found in code
  • pharmatools.ai · found in code
  • waterfootprint.org · found in code

Tools (4)

As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • compare_water_usePut an amount of water in everyday contextread-only

    Convert 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 AI water & energy footprintread-only

    Estimate 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 only, as vendors report) or 'comprehensive' (adds water used to generate the electricity – the wider boundary most researchers use). days: number of days to total over (e.g. 250 workdays, 365). Returns per-prompt, per-day and total figures with everyday equivalents, assumptions and a source link. For ag…

  • estimate_session_footprintEstimate an AI session's footprint from token countsread-only

    Estimate 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). model_class: 'small' (Haiku/mini/Flash-class), 'frontier' or 'reasoning'. Returns a central estimate and a 0.3x–3x range – this is an order-of-magnitude estimate calibrated to published per-prompt figures, not a measurement.

  • get_methodologyAI water footprint methodology and sourcesread-only

    Return 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.

Signals

Stars
1
Forks
0
Open issues
0
Last commit
Oct 16, 2026 (12 days ago)
Last release
Oct 13, 2026 (15 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.nickjlamb/ai-footprint
Version
1.0.4
Auth
Auth not stated
License
MIT
Repository
github.com/nickjlamb/ai-footprint
Website
www.pharmatools.ai/mcp#footprint
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql

More from nickjlamb

Cite this page

AI Footprint MCP server. Agent Mart. https://agentmart.dev/connectors/nickjlamb-ai-footprint (last updated 2026-10-24)