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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

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

[mcp_servers.ai-footprint]
url = "https://footprint.pharmatools.ai/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-footprint": {
      "type": "remote",
      "url": "https://footprint.pharmatools.ai/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "ai-footprint": {
      "type": "http",
      "url": "https://footprint.pharmatools.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ai-footprint&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZm9vdHByaW50LnBoYXJtYXRvb2xzLmFpL21jcCJ9"
}

{
  "servers": {
    "ai-footprint": {
      "type": "http",
      "url": "https://footprint.pharmatools.ai/mcp"
    }
  }
}

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

extensions:
  "ai-footprint":
    enabled: true
    name: "ai-footprint"
    type: streamable_http
    uri: "https://footprint.pharmatools.ai/mcp"
    timeout: 300

Quality 91 / 100strong

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene100 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations4 of 4 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 891 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes4 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

4 tools, about 891 tokens to load them all · tool set 62a879a5b430 · tools last changed 2026-10-13 · checked 2026-10-19 17:25 UTC

Tool changes

2026-10-13estimate_session_footprintchangedannotations
2026-10-13compare_water_usechangedannotations
2026-10-13get_methodologychangedannotations
2026-10-13estimate_ai_footprintchangedannotations

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 97 / 100

provenance90

liveness100

freshness100

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-6d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://footprint.pharmatools.ai/mcp` streamable-http	none	yes	100%	375 ms	2025-11-25	2026-10-19

Tools (4)

`compare_water_use`read-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_footprint`read-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 agentic/coding sessions use estimate_session_footprint instead.
`estimate_session_footprint`read-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_methodology`read-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.

Schemas: list_tools.

Similar MCP servers

More from io.github.nickjlamb

Official server.json

{
  "name": "io.github.nickjlamb/ai-footprint",
  "title": "AI Footprint",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://footprint.pharmatools.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.4",
  "repository": {
    "url": "https://github.com/nickjlamb/ai-footprint",
    "source": "github"
  },
  "websiteUrl": "https://www.pharmatools.ai/mcp#footprint",
  "description": "Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources."
}