# AI Footprint (remote · footprint.pharmatools.ai)

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

- Trust score: 77/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `footprint.pharmatools.ai`: 77/100 (this document), [markdown](https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint.md), [page](https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint)

## Channel facts

- Endpoint: `https://footprint.pharmatools.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.4`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 11/100
  - TLS not yet verified: we couldn't open a connection to check the certificate.
  - Authorisation not yet verified: we couldn't confirm whether this endpoint requires it.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS not yet verified: we couldn't read the response headers to check for it.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 0/100
  - Transport check failed: declared streamable-http, but we couldn't connect to verify it.
- **Schema Quality & AI Usability**: 0/100
  - Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 0/100
  - Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.
- **Tool Safety**: 0/100
  - Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.
- **Capabilities**: 0/100
  - Capabilities not yet verified: we couldn't read the endpoint's capabilities.

**Unverified: 5 categories.** Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

## Install

### How do I install the AI Footprint MCP server?

AI Footprint is a hosted endpoint at https://footprint.pharmatools.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http nickjlamb-ai-footprint 'https://footprint.pharmatools.ai/mcp'
```

### Cursor

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

### VS Code

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

### Codex

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

### opencode

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

### OpenClaw

```bash
openclaw mcp add nickjlamb-ai-footprint --url 'https://footprint.pharmatools.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  nickjlamb-ai-footprint:
    url: "https://footprint.pharmatools.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "nickjlamb-ai-footprint": {
      "Transport": "http",
      "Url": "https://footprint.pharmatools.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add nickjlamb-ai-footprint -t streamable-http -u 'https://footprint.pharmatools.ai/mcp'
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 77, 0)

- [security regression] Endpoint reachability: reachable → unreachable
- [security regression] HSTS header: fail → unverified
- [security regression] Authorization: partial → unverified
- [security regression] Stability: 0.70 → unverified
- [security regression] Tool safety: pass → unverified
- [security regression] TLS certificate: pass → unverified
- [security regression] Transport: pass → fail
- [functional regression] Capabilities: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-11-03 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 75, +1)

No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-27 (score 74, +1)

No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-25 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-23 (score 72, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-21 (score 71, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (4)

### `estimate_ai_footprint` (~207 tokens)

Estimate AI water & energy 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,
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.

Input parameters:

- `boundary` (string)
- `days` (integer)
- `queries_per_day` (number, required)
- `usage` (string)

### `get_methodology` (~71 tokens)

AI water footprint methodology and sources

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` (~85 tokens)

Put an amount of water in everyday context

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.

Input parameters:

- `water_ml` (number, required)

### `estimate_session_footprint` (~176 tokens)

Estimate an AI session's footprint from token counts

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.

Input parameters:

- `boundary` (string)
- `cached_input_tokens` (integer)
- `input_tokens` (integer, required)
- `model_class` (string)
- `output_tokens` (integer, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint#diagnostics

## Score history

- 2026-11-05: 77
- 2026-11-04: 77
- 2026-11-03: 77
- 2026-11-02: 76
- 2026-11-01: 76
- 2026-10-31: 75
- 2026-10-30: 75
- 2026-10-29: 74
- 2026-10-28: 74
- 2026-10-27: 74
- 2026-10-26: 73
- 2026-10-25: 73
- 2026-10-24: 72
- 2026-10-23: 72
- 2026-10-22: 71
- 2026-10-21: 71
- 2026-10-20: 70
- 2026-10-19: 70
- 2026-10-18: 69
- 2026-10-17: 69
- 2026-10-16: 68
- 2026-10-15: 68
- 2026-10-14: 67
- 2026-10-13: 67

## Common questions

### What is the AI Footprint MCP server?

AI Footprint is an MCP server listed in the public MCP registry as io.github.nickjlamb/ai-footprint. Water and energy footprint of AI use: chat prompts, agent sessions, methodology and sources. This page covers its hosted endpoint (https://footprint.pharmatools.ai/mcp).

### Is the AI Footprint MCP server safe to use?

AI Footprint scores 77 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AI Footprint MCP server expose?

AI Footprint exposes 4 tools: estimate_ai_footprint, get_methodology, compare_water_use, estimate_session_footprint. Their descriptions and schemas cost roughly 539 tokens of context every time the server is loaded.

### Does the AI Footprint MCP server require authentication?

Its publisher declares no required credentials for AI Footprint. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

### Is the AI Footprint MCP server still maintained?

AI Footprint is still listed in the MCP registry, though our most recent checks did not reach this channel. We last reached this channel on 3 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://footprint.pharmatools.ai/mcp
- Repository: https://github.com/nickjlamb/ai-footprint
- Website: https://www.pharmatools.ai/mcp#footprint
- Changelog RSS feed: https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint.xml
- Changelog JSON feed: https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint.json
- HTML version of this page: https://verifymcp.io/servers/nickjlamb-ai-footprint/footprint