Clara — Personal Clean Air Planner

com.southlondonscientific/claraVersion 0.3.0

UK personal air quality advice and daily exposure assessment. Pairs with Hermes for live data.

Status

Responds124 msNov 14, 2026, 14:16 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:16 UTC
Latency: 124 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: EU hosting detected (detected, not a legal statement)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://clara-mcp.southlondonscientific.com/mcpResponds124 msNov 14, 2026, 14:16 UTC

No sign-in

Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: clara
Remote MCP server URL: https://clara-mcp.southlondonscientific.com/mcp

Cursor

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

VS Code

code --add-mcp '{"name":"clara","type":"http","url":"https://clara-mcp.southlondonscientific.com/mcp"}'

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Tools

2 tools

Tools of Clara — Personal Clean Air Planner
	Description		Read-only	Idempotent	Open world
`contextual_advice`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.	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.	Not declared	Not declared	Not declared	Not declared
`exposure_assessment`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").	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").	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: May 5, 2026
Updated: May 5, 2026
Website: https://www.southlondonscientific.com/⁠ (opens in a new tab)
Repository: Not given
Categories: Uncategorized
GDPR: Not declared

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