MCP server

Hermes — Air Quality Intelligence

com.southlondonscientific/hermes

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: southlondonscientific.comAbout 3,754 tokens per request once connected15 tools

Website

https://hermes.southlondonscientific.com/mcp

At a glance

Type: MCP server
Publisher: southlondonscientific.com (verified by the MCP Registry)
Status: Working at last check
Tools: 15
Token cost: About 3,754 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"hermes":{"httpUrl":"https://hermes.southlondonscientific.com/mcp"}}}

Cursor

{"mcpServers":{"hermes":{"url":"https://hermes.southlondonscientific.com/mcp"}}}

VS Code

{"servers":{"hermes":{"type":"http","url":"https://hermes.southlondonscientific.com/mcp"}}}

Antigravity

agy mcp add hermes https://hermes.southlondonscientific.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"hermes","server_url":"https://hermes.southlondonscientific.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"hermes","server_url":"https://hermes.southlondonscientific.com/mcp"}

Tools

assess_location_aq ~276 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`
chart_aq_trend ~456 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).
compare_locations ~220 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, pla
get_aqi_summary ~234 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: loca
get_current_aq ~308 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
get_historical_aq ~377 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: st
kb_get_guidelines ~150 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).
kb_get_health_effects ~180 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).
kb_get_local_context ~104 tokens
Get area-specific contextual information. Args: area: "southwark", "london", or a specific neighbourhood. Returns local context document (markdown).
kb_get_monitoring_explainer ~158 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 docum
kb_get_practical_advice ~273 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
list_monitors ~241 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:
regulatory_stats ~242 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 re
time_patterns ~234 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 analys
trend_analysis ~301 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

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