# Hermes — Air Quality Intelligence (remote · hermes.southlondonscientific.com)

UK air quality MCP: live readings, historical trends, LAQM stats, WHO checks, knowledge base.

- Trust score: 62/100 (medium)
- Change this week: +5
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `hermes.southlondonscientific.com`: 62/100 (this document), [markdown](https://verifymcp.io/servers/com-southlondonscientific-hermes/hermes.md), [page](https://verifymcp.io/servers/com-southlondonscientific-hermes/hermes)

## Channel facts

- Endpoint: `https://hermes.southlondonscientific.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.2.0`

## 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 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 15 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 64/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 3040 tokens (~202/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (33% of tools); any adoption earns full credit.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-southlondonscientific-hermes https://hermes.southlondonscientific.com/mcp
```

### Codex

```toml
[mcp_servers.com-southlondonscientific-hermes]
url = "https://hermes.southlondonscientific.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-southlondonscientific-hermes": {
      "type": "remote",
      "url": "https://hermes.southlondonscientific.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-southlondonscientific-hermes --url https://hermes.southlondonscientific.com/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-southlondonscientific-hermes:
    url: "https://hermes.southlondonscientific.com/mcp"
```

### Other

```json
{
  "mcpServers": {
    "com-southlondonscientific-hermes": {
      "type": "http",
      "url": "https://hermes.southlondonscientific.com/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.

### 2026-08-03 (score 62, +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.

### 2026-08-01 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 60, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 59, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 58, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 57, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 56)

First indexed and scored.

## MCP tools (15)

### `assess_location_aq` (~170 tokens)

Comprehensive air quality assessment for a location in one call.

Combines nearby monitor discovery and current readings with DAQI into
a single response. Use this as the first tool call for any air quality
question about a location.

For long-term trend analysis, use the dedicated `trend_analysis` tool.

Returns a structured 'summary' dict with purpose-appropriate sections.
Present the summary description to users first.

Args:
    location: Postcode, place name, or "lat,lon".
    purpose: What the user needs — "general" (default), "health"
        (safety/worry), "exercise" (outdoor activity), or "planning"
        (homebuying/school assessment/long-term).

Input parameters:

- `location` (string, required)
- `purpose` (string)

### `get_current_aq` (~173 tokens)

Get the most recent air quality readings near a location, with health context.

Returns a 'summary' with a plain-English health assessment and advice
for general and at-risk populations. Present the summary to users first.
Also returns individual 'readings' from nearby monitors and 'metadata'
about data freshness and sources.

Args:
    location: Postcode, place name, or "lat,lon".
    radius_km: Search radius in kilometres (default 2.0).
    pollutants: Optional filter, e.g. ["NO2", "PM2.5"].
    sources: Optional filter, e.g. ["AURN", "BREATHE_LONDON"].

Input parameters:

- `location` (string, required)
- `pollutants`
- `radius_km` (number)
- `sources`

### `get_historical_aq` (~216 tokens)

Get historical air quality data for a site or location, with health context.

Returns a 'narrative' with plain-English interpretation of trends,
WHO guideline exceedances, and guideline comparisons. Present the
narrative to users first. Also returns raw 'data' and 'summary' statistics.

Args:
    start_date: Start date (ISO format, e.g. "2025-01-01").
    end_date: End date (ISO format).
    location: Postcode, place name, or "lat,lon". Provide this or site_code.
    site_code: Direct site code. Provide this or location.
    pollutants: Optional filter, e.g. ["NO2", "PM2.5"].
    frequency: "hourly", "daily", or "monthly" (default "daily").

Input parameters:

- `end_date` (string, required)
- `frequency` (string)
- `location`
- `pollutants`
- `site_code`
- `start_date` (string, required)

### `get_aqi_summary` (~153 tokens)

Get an AQI assessment with health advice and WHO compliance check.

Returns a 'summary' with a plain-English health assessment, advice for
general and at-risk populations, and WHO guideline context. Present the
summary to users first. Also returns raw 'aqi' and 'who_compliance' data.

Args:
    location: Postcode, place name, or "lat,lon".
    index: AQI system — "UK_DAQI" (default), "WHO", or "US_EPA".
    period: "current", "today", "this_week", or "this_month".

Input parameters:

- `index` (string)
- `location` (string, required)
- `period` (string)

### `list_monitors` (~141 tokens)

List air quality monitoring sites near a location, with context.

Returns a 'summary' explaining how many monitors were found, their
operational status, and what each monitor type represents. Present the
summary to users first. Also returns a 'monitors' list with full metadata.

Args:
    location: Postcode, place name, or "lat,lon".
    radius_km: Search radius in kilometres (default 5.0).
    sources: Optional filter, e.g. ["AURN", "BREATHE_LONDON"].

Input parameters:

- `location` (string, required)
- `radius_km` (number)
- `sources`

### `chart_aq_trend` (~276 tokens)

Generate a time series chart of air quality data.

Returns a PNG chart image with a brief text summary. Use this when
users ask about trends, patterns, or want to visualise air quality
over time.

Args:
    start_date: Start date (ISO format, e.g. "2025-01-01").
    end_date: End date (ISO format).
    location: Postcode, place name, or "lat,lon". Provide this or site_code.
    site_code: Direct site code. Provide this or location.
    pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Defaults to
        NO2, PM2.5, PM10, O3 if not specified.
    frequency: "hourly", "daily", or "monthly" (default "daily").
    show_who_guidelines: Show WHO guideline reference lines (default True).
    show_daqi_bands: Show DAQI band background shading (default True).

Input parameters:

- `end_date` (string, required)
- `frequency` (string)
- `location`
- `pollutants`
- `show_daqi_bands` (boolean)
- `show_who_guidelines` (boolean)
- `site_code`
- `start_date` (string, required)

### `trend_analysis` (~205 tokens)

Analyse the long-term trend in a pollutant near a location.

Uses Theil-Sen slope estimation with Mann-Kendall significance testing
to determine whether air quality is improving, worsening, or stable.
Robust to outliers and missing data.

Returns a 'summary' with plain-English trend description and statistical
details. Present the summary to users first.

Args:
    location: Postcode, place name, or "lat,lon".
    pollutant: Pollutant to analyse — "NO2", "PM2.5", "PM10", "O3" (default "NO2").
    years: Number of years of data to analyse (default 5, range 2–5).
        Requests outside this range are clamped; the response includes
        ``metadata.years_clamped`` and a note in ``summary`` when so.

Input parameters:

- `location` (string, required)
- `pollutant` (string)
- `years` (integer)

### `compare_locations` (~111 tokens)

Compare current air quality across multiple locations side-by-side.

Returns a ranked comparison by pollutant with DAQI bands and distance to
nearest monitor. Useful for comparing development sites, school locations,
or residential options.

Args:
    locations: List of 2–6 locations (postcodes, place names, or "lat,lon").
    pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Default: all available.

Input parameters:

- `locations` (array, required)
- `pollutants`

### `regulatory_stats` (~123 tokens)

Get LAQM Annual Status Report-style statistics for a location.

Returns annual means, percentiles, exceedance counts, data capture
percentages, and compliance assessment against UK legal limits and
WHO guidelines.

Args:
    location: Postcode, place name, or "lat,lon".
    year: Calendar year to report on (default: most recent complete year).
    pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Default: all available.

Input parameters:

- `location` (string, required)
- `pollutants`
- `year`

### `time_patterns` (~155 tokens)

Analyse when pollution is highest — hour of day, day of week, and month.

Returns temporal profiles showing typical patterns. Useful for advising on
best times for outdoor exercise, school runs, or commuting.

Args:
    location: Postcode, place name, or "lat,lon".
    pollutant: Pollutant to analyse — "NO2", "PM2.5", "PM10", "O3" (default "NO2").
    period: Time window — "last_month", "last_3_months", "last_6_months",
            or "last_year" (default).

Input parameters:

- `location` (string, required)
- `period` (string)
- `pollutant` (string)

### `kb_get_guidelines` (~73 tokens)

Get current air quality guideline and target values.

Args:
    framework: "WHO", "UK", "EU", or "all" (default).
    pollutant: Optional filter for a specific pollutant.

Returns the full guidelines document (markdown).

Input parameters:

- `framework` (string)
- `pollutant`

Output parameters:

- `result` (string)

### `kb_get_health_effects` (~106 tokens)

Get health evidence summaries for a pollutant and population group.

Args:
    pollutant: "NO2", "PM2.5", "PM10", or "O3".
    population_group: "general", "children", "elderly", "respiratory",
        "cardiovascular", or "pregnant" (default "general").

Returns health effects document (markdown).

Input parameters:

- `pollutant` (string, required)
- `population_group` (string)

Output parameters:

- `result` (string)

### `kb_get_local_context` (~49 tokens)

Get area-specific contextual information.

Args:
    area: "southwark", "london", or a specific neighbourhood.

Returns local context document (markdown).

Input parameters:

- `area` (string)

Output parameters:

- `result` (string)

### `kb_get_practical_advice` (~179 tokens)

Generic protective-action guidance for a category of situation
(NOT keyed to an individual user's context).

For *personalised* advice that takes the user's specific health
situation into account (asthma, pregnancy, gas cooker, tube commute,
indoor sources), prefer the Clara MCP server's `contextual_advice`
tool — it composes Hermes live readings with personal context to
give an answer keyed to *this* user, *now*. Use this KB tool only
as a fallback or when Clara is not available.

Args:
    situation: One of "high_pollution_day", "commuting", "exercise",
        "school_run", "indoor_air", "planning_objection", "pregnancy",
        "child_asthma".

Returns practical advice document (markdown).

Input parameters:

- `situation` (string, required)

Output parameters:

- `result` (string)

### `kb_get_monitoring_explainer` (~87 tokens)

Get plain-language explanations of monitoring methods and limitations.

Args:
    topic: One of "how_monitors_work", "regulatory_vs_lowcost",
        "what_readings_mean", "why_numbers_differ",
        "representativeness", "data_quality", "what_monitors_measure".

Returns monitoring explainer document (markdown).

Input parameters:

- `topic` (string, required)

Output parameters:

- `result` (string)

## Diagnostics

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

## Score history

- 2026-08-03: 62
- 2026-08-02: 61
- 2026-08-01: 61
- 2026-07-31: 60
- 2026-07-30: 59
- 2026-07-29: 58
- 2026-07-28: 57
- 2026-07-27: 57
- 2026-07-26: 56

## Links

- Remote endpoint: https://hermes.southlondonscientific.com/mcp
- Website: https://www.southlondonscientific.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-southlondonscientific-hermes/hermes/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-southlondonscientific-hermes/hermes/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-southlondonscientific-hermes/hermes