此 MCP 可以做什么
Provides UK air-quality readings, historical and statistical analysis, trend visualizations, guideline comparisons, and health-context information.
功能
工具
15
工具
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 `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 â "general" (default), "health"
(safety/worry), "exercise" (outdoor activity), or "planning"
(homebuying/school assessment/long-term).
输入模式
{'type': 'object', 'title': 'assess_location_aqArguments', 'required': ['location'], 'properties': {'purpose': {'type': 'string', 'title': 'Purpose', 'default': 'general'}, 'location': {'type': 'string', 'title': 'Location'}}}
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 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', 'title': 'chart_aq_trendArguments', 'required': ['start_date', 'end_date'], 'properties': {'end_date': {'type': 'string', 'title': 'End Date'}, 'location': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Location', 'default': None}, 'frequency': {'type': 'string', 'title': 'Frequency', 'default': 'daily'}, 'site_code': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Site Code', 'default': None}, 'pollutants': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Pollutants', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date'}, 'show_daqi_bands': {'type': 'boolean', 'title': 'Show Daqi Bands', 'default': True}, 'show_who_guidelines': {'type': 'boolean', 'title': 'Show Who Guidelines', 'default': True}}}
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 2â6 locations (postcodes, place names, or "lat,lon").
pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Default: all available.
输入模式
{'type': 'object', 'title': 'compare_locationsArguments', 'required': ['locations'], 'properties': {'locations': {'type': 'array', 'items': {'type': 'string'}, 'title': 'Locations'}, 'pollutants': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Pollutants', 'default': None}}}
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' data.
Args:
location: Postcode, place name, or "lat,lon".
index: AQI system â "UK_DAQI" (default), "WHO", or "US_EPA".
period: "current", "today", "this_week", or "this_month".
输入模式
{'type': 'object', 'title': 'get_aqi_summaryArguments', 'required': ['location'], 'properties': {'index': {'type': 'string', 'title': 'Index', 'default': 'UK_DAQI'}, 'period': {'type': 'string', 'title': 'Period', 'default': 'current'}, 'location': {'type': 'string', 'title': 'Location'}}}
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 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', 'title': 'get_current_aqArguments', 'required': ['location'], 'properties': {'sources': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Sources', 'default': None}, 'location': {'type': 'string', 'title': 'Location'}, 'radius_km': {'type': 'number', 'title': 'Radius Km', 'default': 3.5}, 'pollutants': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Pollutants', 'default': None}}}
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' 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', 'title': 'get_historical_aqArguments', 'required': ['start_date', 'end_date'], 'properties': {'end_date': {'type': 'string', 'title': 'End Date'}, 'location': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Location', 'default': None}, 'frequency': {'type': 'string', 'title': 'Frequency', 'default': 'daily'}, 'site_code': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Site Code', 'default': None}, 'pollutants': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Pollutants', 'default': None}, 'start_date': {'type': 'string', 'title': 'Start Date'}}}
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).
输入模式
{'type': 'object', 'title': 'kb_get_guidelinesArguments', 'properties': {'framework': {'type': 'string', 'title': 'Framework', 'default': 'all'}, 'pollutant': {'anyOf': [{'type': 'string'}, {'type': 'null'}], 'title': 'Pollutant', 'default': None}}}
输出模式
{'type': 'object', 'title': 'kb_get_guidelinesOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
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).
输入模式
{'type': 'object', 'title': 'kb_get_health_effectsArguments', 'required': ['pollutant'], 'properties': {'pollutant': {'type': 'string', 'title': 'Pollutant'}, 'population_group': {'type': 'string', 'title': 'Population Group', 'default': 'general'}}}
输出模式
{'type': 'object', 'title': 'kb_get_health_effectsOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
kb_get_local_context
Get area-specific contextual information.
Args:
area: "southwark", "london", or a specific neighbourhood.
Returns local context document (markdown).
输入模式
{'type': 'object', 'title': 'kb_get_local_contextArguments', 'properties': {'area': {'type': 'string', 'title': 'Area', 'default': 'southwark'}}}
输出模式
{'type': 'object', 'title': 'kb_get_local_contextOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
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 document (markdown).
输入模式
{'type': 'object', 'title': 'kb_get_monitoring_explainerArguments', 'required': ['topic'], 'properties': {'topic': {'type': 'string', 'title': 'Topic'}}}
输出模式
{'type': 'object', 'title': 'kb_get_monitoring_explainerOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
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 server's `contextual_advice`
tool â 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', 'title': 'kb_get_practical_adviceArguments', 'required': ['situation'], 'properties': {'situation': {'type': 'string', 'title': 'Situation'}}}
输出模式
{'type': 'object', 'title': 'kb_get_practical_adviceOutput', 'required': ['result'], 'properties': {'result': {'type': 'string', 'title': 'Result'}}}
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.
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', 'title': 'list_monitorsArguments', 'required': ['location'], 'properties': {'sources': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Sources', 'default': None}, 'location': {'type': 'string', 'title': 'Location'}, 'radius_km': {'type': 'number', 'title': 'Radius Km', 'default': 5.0}}}
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 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', 'title': 'regulatory_statsArguments', 'required': ['location'], 'properties': {'year': {'anyOf': [{'type': 'integer'}, {'type': 'null'}], 'title': 'Year', 'default': None}, 'location': {'type': 'string', 'title': 'Location'}, 'pollutants': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Pollutants', 'default': None}}}
time_patterns
Analyse when pollution is highest â 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 â "NO2", "PM2.5", "PM10", "O3" (default "NO2").
period: Time window â "last_month", "last_3_months", "last_6_months",
or "last_year" (default).
输入模式
{'type': 'object', 'title': 'time_patternsArguments', 'required': ['location'], 'properties': {'period': {'type': 'string', 'title': 'Period', 'default': 'last_year'}, 'location': {'type': 'string', 'title': 'Location'}, 'pollutant': {'type': 'string', 'title': 'Pollutant', 'default': 'NO2'}}}
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 trend description and statistical
details. Present the summary to users first.
Args:
location: Postcode, place name, or "lat,lon".
pollutant: Pollutant to analyse â "NO2", "PM2.5", "PM10", "O3" (default "NO2").
years: Number of years of data to analyse (default 5, range 2â5).
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', 'title': 'trend_analysisArguments', 'required': ['location'], 'properties': {'years': {'type': 'integer', 'title': 'Years', 'default': 5}, 'location': {'type': 'string', 'title': 'Location'}, 'pollutant': {'type': 'string', 'title': 'Pollutant', 'default': 'NO2'}}}
历史
近期工具变更
已添加
kb_get_monitoring_explainer
2026年9月17日 12:37
已添加
kb_get_practical_advice
2026年9月17日 12:37
已添加
kb_get_local_context
2026年9月17日 12:37
已添加
kb_get_health_effects
2026年9月17日 12:37
已添加
kb_get_guidelines
2026年9月17日 12:37
已添加
time_patterns
2026年9月17日 12:37
已添加
regulatory_stats
2026年9月17日 12:37
已添加
compare_locations
2026年9月17日 12:37
已添加
trend_analysis
2026年9月17日 12:37
已添加
chart_aq_trend
2026年9月17日 12:37
已添加
list_monitors
2026年9月17日 12:37
已添加
get_aqi_summary
2026年9月17日 12:37
已添加
get_historical_aq
2026年9月17日 12:37
已添加
get_current_aq
2026年9月17日 12:37
已添加
assess_location_aq
2026年9月17日 12:37
发现
类似的 MCP 服务器
Clink Forge
com.clinkforge/clink-forge
Provides pay-per-call access to attested government datasets, primarily CDC and HHS health data plus EPA air-quality observations.
Pharma Intel
io.github.pipeworx-io/pharma-intel
Combines clinical trial, FDA, PubMed, drug identification, safety, pipeline, sales, patent, and pharmaceutical sponsor data for d…
Gdc
io.github.pipeworx-io/gdc
Accesses NCI Genomic Data Commons cancer-genomics project metadata, project listings, and case and file counts.
Gprofiler
io.github.pipeworx-io/gprofiler
Converts gene identifiers, maps orthologs across species and performs functional or pathway enrichment analysis on gene lists.
BioCosm
io.github.nhoverte/biocosm
Provides biotech intelligence on drugs, diagnostics, targets, companies, clinical phases, clinical outcomes, and probability-of-s…
Cybergenic
im.cybergenic/mcp
Analyzes cancer gene co-occurrence and mutual exclusivity across tumor cohorts using statistical tests, confound controls, and mu…
osint
build.exascale/osint
Provides source-cited US data and schemas for power systems, AI infrastructure, semiconductor production and trade, robotics, and…
Medicare Coverage
io.github.pipeworx-io/medicare-coverage
Provides structured Medicare coverage documents, policy timelines, utilization, enrollment, supplier, and payment-related data fr…