Hermes — Air Quality Intelligence

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

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品質與安全性

A
說明品質
100%
結構描述完整度
74%
命名品質
87%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~3,490Token(工具定義)
~1.0 KB典型回應大小
顯著的注意力影響(128k 上下文的 2.73%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

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

遠端端點

https://hermes.southlondonscientific.com/mcpstreamable-http

它能做什麼

工具清單

工具(15)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪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).

輸入結構描述

{
  "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"].

輸入結構描述

{
  "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").

輸入結構描述

{
  "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".

輸入結構描述

{
  "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"].

輸入結構描述

{
  "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).

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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).

輸入結構描述

{
  "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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "framework": {
      "default": "all",
      "title": "Framework",
      "type": "string"
    },
    "pollutant": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Pollutant"
    }
  },
  "title": "kb_get_guidelinesArguments"
}

輸出結構描述

{
  "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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "pollutant": {
      "title": "Pollutant",
      "type": "string"
    },
    "population_group": {
      "default": "general",
      "title": "Population Group",
      "type": "string"
    }
  },
  "required": [
    "pollutant"
  ],
  "title": "kb_get_health_effectsArguments"
}

輸出結構描述

{
  "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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "area": {
      "default": "southwark",
      "title": "Area",
      "type": "string"
    }
  },
  "title": "kb_get_local_contextArguments"
}

輸出結構描述

{
  "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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "situation": {
      "title": "Situation",
      "type": "string"
    }
  },
  "required": [
    "situation"
  ],
  "title": "kb_get_practical_adviceArguments"
}

輸出結構描述

{
  "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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "topic": {
      "title": "Topic",
      "type": "string"
    }
  },
  "required": [
    "topic"
  ],
  "title": "kb_get_monitoring_explainerArguments"
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "kb_get_monitoring_explainerOutput"
}

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