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AI Footprint

io.github.nickjlamb/ai-footprint · v1.0.4

Measured by MCP Station

Last check	Reachable
Checked at	—
Check success 7 / 30 days	—
First-try success 30 days	—
Median response	—
Lookups 30 days	—
Authentication	No auth
MCP version	2025-06-18
Rank score	—
Declared risk	Read-only (all tools declare readOnlyHint)
Capabilities declared	experimental, prompts, resources, tools
Tool definitions	4 tools · with description 100% · input schema is an object 100% · read/destructive hints 100%

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

streamable-http · https://footprint.pharmatools.ai/mcp

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

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

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 chat, ~0.34 Wh/prompt), 'mixed' (~1 Wh), 'intensive' (image generation / deep reasoning, ~3 Wh). boundary: 'onsite' (data-centre cooling only,
get_methodology
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.
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), plus the number of typical AI text prompts it equals. Includes the boundary caveat that lifecycle footprints are not like-for-like.
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 (uncached prompt tokens), output_tokens (including any reasoning/thinking tokens) and cached_input_tokens (prompt-cache reads). model_class:

Repository · Website · JSON · Text for agents · Registry updated 2026-10-13