Clara — Personal Clean Air Planner MCP Server

by southlondonscientific Your server? Claim it

answering

Clara — Personal Clean Air Planner is answering right now. Last checked 11 min ago. It exposes 2 tools.

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

Uptime history 91 days of history · worst day 99%

91 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

44 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 1

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 October 2026. No other catalogue keeps this.

24 Oct a tool changed version

Nothing serious here today

Today is the operative word: we check Clara — Personal Clean Air Planner every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

https://clara-mcp.southlondonscientific.com/mcp

~/.codex/config.toml

[mcp_servers.clara]
url = "https://clara-mcp.southlondonscientific.com/mcp"

.cursor/mcp.json

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

.vscode/mcp.json

{
  "servers": {
    "clara": {
      "type": "http",
      "url": "https://clara-mcp.southlondonscientific.com/mcp"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

contextual

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.

exposure

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").

Endpoints

URL	Transport	State	Latency	Checked
https://clara-mcp.southlondonscientific.com/mcp	streamable-http	answering	57 ms	11 min ago

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Clara — Personal Clean Air Planner — questions

Answers built from our own checks of this server.

What can Clara — Personal Clean Air Planner do?

It exposes 2 tools, read directly from the server on our last check. Among them: contextual_advice, exposure_assessment. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Clara — Personal Clean Air Planner working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 44 ms. The bar chart above shows every period we have measured.

How do I connect Clara — Personal Clean Air Planner?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Clara — Personal Clean Air Planner need an API key?

No. Clara — Personal Clean Air Planner completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Clara — Personal Clean Air Planner?

It answers our handshake in 44 ms on average, which is faster than 99% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.