Clara — Personal Clean Air Planner
UK personal air quality advice and daily exposure assessment. Pairs with Hermes for live data.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"clara": {
"url": "https://clara-mcp.southlondonscientific.com/mcp"
}
}
}원격 엔드포인트
https://clara-mcp.southlondonscientific.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (2)
🟢contextual_advice(postcode, latitude, longitude, pm25, no2, ...)
Personalised air quality advice for a UK location and a specific user context. Use this tool whenever the user asks an air-quality question that depends on *who they are* or *what they're about to do*: e.g. asthma, pregnancy, school-age child, gas cooker at home, tube commute, outdoor exercise. It composes location-specific pollution with the user's personal context to produce evidence-based advice — far more targeted than a generic "high pollution day" handout. Composable with Hermes: pass pm25/no2 from Hermes get_current_aq for advice based on live readings rather than annual average estimates. Returns structured advice with a plain-English summary, health context, and local intervention information. Present the 'summary' to users first. Args: postcode: UK postcode (e.g. "SE17 1RL"). Provides coords + LAEI pollution. latitude: Latitude for coordinate-based lookup. longitude: Longitude for coordinate-based lookup. pm25: PM2.5 concentration in ug/m3. Overrides location-based estimate. no2: NO2 concentration in ug/m3. Overrides location-based estimate. setting: Context — residential, school, workplace, outdoor_exercise, commute. has_gas_cooker: Whether the person has a gas cooker (affects indoor advice). commute_mode: If setting is commute — walk, cycle, bus, car, train, tube. has_indoor_sources: Indoor pollution sources (smoking, woodstove). audience: Target audience — general, children, elderly, respiratory, pregnant.
입력 스키마
{
"type": "object",
"properties": {
"postcode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Postcode"
},
"latitude": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Latitude"
},
"longitude": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Longitude"
},
"pm25": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "Pm25"
},
"no2": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"title": "No2"
},
"setting": {
"default": "residential",
"title": "Setting",
"type": "string"
},
"has_gas_cooker": {
"default": false,
"title": "Has Gas Cooker",
"type": "boolean"
},
"commute_mode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Commute Mode"
},
"has_indoor_sources": {
"default": false,
"title": "Has Indoor Sources",
"type": "boolean"
},
"audience": {
"default": "general",
"title": "Audience",
"type": "string"
}
},
"title": "contextual_adviceArguments"
}⚪exposure_assessment(home_postcode, work_postcode, transport_mode, work_frequency, commute_hour, ...)
Estimate personal daily air pollution exposure across home, work, and commute. Uses time-weighted modelling across environments: home (with indoor source adjustments), work, and commute (with route-based pollution and transport mode factors). Based on annual average pollution estimates, not live readings. Args: home_postcode: Home location UK postcode (e.g. "SE17 1RL"). Required. work_postcode: Work/school location postcode. Omit if not commuting. transport_mode: Commute mode — walk, cycle, bus, car, train, tube. work_frequency: How often you commute — most_days, some_days, less_often, never. commute_hour: Hour of commute (0-23) for time-of-day pollution adjustment. cooker_type: Home cooker type — gas, electric, induction, unknown. smoking_at_home: Whether anyone smokes indoors (major PM2.5 source). tube_line: London Underground line for tube commuters (e.g. "victoria").
입력 스키마
{
"type": "object",
"properties": {
"home_postcode": {
"title": "Home Postcode",
"type": "string"
},
"work_postcode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Work Postcode"
},
"transport_mode": {
"default": "walk",
"title": "Transport Mode",
"type": "string"
},
"work_frequency": {
"default": "most_days",
"title": "Work Frequency",
"type": "string"
},
"commute_hour": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Commute Hour"
},
"cooker_type": {
"default": "unknown",
"title": "Cooker Type",
"type": "string"
},
"smoking_at_home": {
"default": false,
"title": "Smoking At Home",
"type": "boolean"
},
"tube_line": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tube Line"
}
},
"required": [
"home_postcode"
],
"title": "exposure_assessmentArguments"
}커뮤니티
증거