# Hermes Air Quality Intelligence Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Hermes Air Quality Intelligence

Check UK air quality readings, trends, and health guidance for your location.

- Record: https://musedirectory.ai/connector/hermes-air-quality-intelligence
- Category: Health
- Developer: South London Scientific (https://www.southlondonscientific.com)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 1423ms, checked 2026-09-28T08:30:47Z
- Endpoint: https://hermes.southlondonscientific.com/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-24T19:46:15Z)
- Source: Found in the official MCP Registry (com.southlondonscientific/hermes) https://registry.modelcontextprotocol.io/v0/servers?search=com.southlondonscientific%2Fhermes

Provides live air quality readings, historical trends, and health advice for UK locations. Compares pollution levels against WHO and UK legal limits. Helps assess air quality for exercise, home buying, schools, or daily health decisions.

Example request: "Is the air quality safe for my child to play outside today in my postcode?"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Hermes Air Quality Intelligence to help me. It is a free service with an MCP server at https://hermes.southlondonscientific.com/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- assess_location_aq: 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
- get_current_aq: 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 an
- get_historical_aq: 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' statis
- get_aqi_summary: 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' da
- list_monitors: 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. Ar
- chart_aq_trend: 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
- trend_analysis: 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 tren
- compare_locations: 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 (
- regulatory_stats: 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 
- time_patterns: 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
- kb_get_guidelines: 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). 
- kb_get_health_effects: 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)
- kb_get_local_context: Get area-specific contextual information. Args: area: "southwark", "london", or a specific neighbourhood. Returns local context document (markdown). 
- kb_get_practical_advice: 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 s
- kb_get_monitoring_explainer: 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 documen

Screening checks:
- MCP handshake: pass (Answered in 1460ms)
- Domain against threat feeds (Cloudflare security DNS): pass (hermes.southlondonscientific.com, www.southlondonscientific.com not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (15 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)