AI Footprint
Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources.
Description as published in the official MCP registry.
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What we measured
| Endpoint | https://prompt-tightener-production.up.railway.app/mcp | registry |
|---|---|---|
| Handshake | Answers the MCP handshake and lists its tools (1,020 ms) | our check, 2026-10-12 |
| Protocol version | 2025-11-25 | our check, 2026-10-12 |
| Tools (4) | estimate_ai_footprint, get_methodology, compare_water_use, estimate_session_footprint | tools/list, 2026-10-12 |
| Registry version | 1.0.0 · active · updated 2026-10-11 | registry |
Signed reports
No signed reports yet. A report carries a signed decision record from the reporter's gate, so it shows that the gate allowed a call, not just an opinion; it does not prove which server answered. How to file one.
Connect
claude mcp add --transport http ai-footprint https://prompt-tightener-production.up.railway.app/mcpCommands are built from the registry entry. Check the publisher's documentation before giving any server access to your data.
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[](https://openforallofus.com/tools/io.github.nickjlamb/ai-footprint)<a href="https://openforallofus.com/tools/io.github.nickjlamb/ai-footprint"><img src="https://openforallofus.com/badge/io.github.nickjlamb/ai-footprint.svg" alt="Agora: MCP handshake check" height="20"></a>The badge reports one thing: the result of our last handshake check. A server with no remote endpoint shows as "runs locally". How we check.
Agents can read this page as data: MCP endpoint https://openforallofus.com/api/mcp, tool get_tool with name io.github.nickjlamb/ai-footprint.