Hermes — Air Quality Intelligence
UK air quality MCP: live readings, historical trends, LAQM stats, WHO checks, knowledge base.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"hermes": {
"url": "https://hermes.southlondonscientific.com/mcp"
}
}
}远程端点
https://hermes.southlondonscientific.com/mcpstreamable-http它能做什么
工具清单
工具（15）
⚪assess_location_aq(location, purpose)
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).
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"purpose": {
"default": "general",
"title": "Purpose",
"type": "string"
}
},
"required": [
"location"
],
"title": "assess_location_aqArguments"
}🟢get_current_aq(location, radius_km, pollutants, sources)
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"].
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"radius_km": {
"default": 3.5,
"title": "Radius Km",
"type": "number"
},
"pollutants": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutants"
},
"sources": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Sources"
}
},
"required": [
"location"
],
"title": "get_current_aqArguments"
}🟢get_historical_aq(start_date, end_date, location, site_code, pollutants, ...)
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").
输入模式
{
"type": "object",
"properties": {
"start_date": {
"title": "Start Date",
"type": "string"
},
"end_date": {
"title": "End Date",
"type": "string"
},
"location": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Location"
},
"site_code": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Site Code"
},
"pollutants": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutants"
},
"frequency": {
"default": "daily",
"title": "Frequency",
"type": "string"
}
},
"required": [
"start_date",
"end_date"
],
"title": "get_historical_aqArguments"
}🟢get_aqi_summary(location, index, period)
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".
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"index": {
"default": "UK_DAQI",
"title": "Index",
"type": "string"
},
"period": {
"default": "current",
"title": "Period",
"type": "string"
}
},
"required": [
"location"
],
"title": "get_aqi_summaryArguments"
}🟢list_monitors(location, radius_km, sources)
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"].
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"radius_km": {
"default": 5,
"title": "Radius Km",
"type": "number"
},
"sources": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Sources"
}
},
"required": [
"location"
],
"title": "list_monitorsArguments"
}🟢chart_aq_trend(start_date, end_date, location, site_code, pollutants, ...)
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).
输入模式
{
"type": "object",
"properties": {
"start_date": {
"title": "Start Date",
"type": "string"
},
"end_date": {
"title": "End Date",
"type": "string"
},
"location": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Location"
},
"site_code": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Site Code"
},
"pollutants": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutants"
},
"frequency": {
"default": "daily",
"title": "Frequency",
"type": "string"
},
"show_who_guidelines": {
"default": true,
"title": "Show Who Guidelines",
"type": "boolean"
},
"show_daqi_bands": {
"default": true,
"title": "Show Daqi Bands",
"type": "boolean"
}
},
"required": [
"start_date",
"end_date"
],
"title": "chart_aq_trendArguments"
}⚪trend_analysis(location, pollutant, years)
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.
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"pollutant": {
"default": "NO2",
"title": "Pollutant",
"type": "string"
},
"years": {
"default": 5,
"title": "Years",
"type": "integer"
}
},
"required": [
"location"
],
"title": "trend_analysisArguments"
}🟢compare_locations(locations, pollutants)
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.
输入模式
{
"type": "object",
"properties": {
"locations": {
"items": {
"type": "string"
},
"title": "Locations",
"type": "array"
},
"pollutants": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutants"
}
},
"required": [
"locations"
],
"title": "compare_locationsArguments"
}🟢regulatory_stats(location, year, pollutants)
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.
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"year": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Year"
},
"pollutants": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutants"
}
},
"required": [
"location"
],
"title": "regulatory_statsArguments"
}⚪time_patterns(location, pollutant, period)
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).
输入模式
{
"type": "object",
"properties": {
"location": {
"title": "Location",
"type": "string"
},
"pollutant": {
"default": "NO2",
"title": "Pollutant",
"type": "string"
},
"period": {
"default": "last_year",
"title": "Period",
"type": "string"
}
},
"required": [
"location"
],
"title": "time_patternsArguments"
}🟢kb_get_guidelines(framework, pollutant)
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).
输入模式
{
"type": "object",
"properties": {
"framework": {
"default": "all",
"title": "Framework",
"type": "string"
},
"pollutant": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Pollutant"
}
},
"title": "kb_get_guidelinesArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kb_get_guidelinesOutput"
}🟢kb_get_health_effects(pollutant, population_group)
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).
输入模式
{
"type": "object",
"properties": {
"pollutant": {
"title": "Pollutant",
"type": "string"
},
"population_group": {
"default": "general",
"title": "Population Group",
"type": "string"
}
},
"required": [
"pollutant"
],
"title": "kb_get_health_effectsArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kb_get_health_effectsOutput"
}🟢kb_get_local_context(area)
Get area-specific contextual information. Args: area: "southwark", "london", or a specific neighbourhood. Returns local context document (markdown).
输入模式
{
"type": "object",
"properties": {
"area": {
"default": "southwark",
"title": "Area",
"type": "string"
}
},
"title": "kb_get_local_contextArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kb_get_local_contextOutput"
}🟢kb_get_practical_advice(situation)
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).
输入模式
{
"type": "object",
"properties": {
"situation": {
"title": "Situation",
"type": "string"
}
},
"required": [
"situation"
],
"title": "kb_get_practical_adviceArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kb_get_practical_adviceOutput"
}🟢kb_get_monitoring_explainer(topic)
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).
输入模式
{
"type": "object",
"properties": {
"topic": {
"title": "Topic",
"type": "string"
}
},
"required": [
"topic"
],
"title": "kb_get_monitoring_explainerArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "kb_get_monitoring_explainerOutput"
}社区
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