io.github.nickjlamb/ai-footprint

up checked 2026-11-11T12:37:53.735Z

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Publisher-provided title

AI Footprint

Publisher-provided description

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

Summary by lookupd

Estimates water and energy used by AI prompts and agent sessions, converts volumes to everyday comparisons, and returns methodology and…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http ai-footprint https://footprint.pharmatools.ai/mcp

Codex, remote (streamable-http)

codex mcp add ai-footprint --url https://footprint.pharmatools.ai/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "ai-footprint": {
      "url": "https://footprint.pharmatools.ai/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Publisher-provided text

estimate_ai_footprint 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 c
get_methodology Return the per-prompt energy and water figures, accounting boundaries, sources, limitations, a citation line, and the reasons published AI water estimates diffe
compare_water_use 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
estimate_session_footprint 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 (

Shows this live status and links here; updates hourly.

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