Clara — Personal Clean Air Planner MCP
Clara is an MCP server that delivers UK personal air-quality advice and daily exposure assessment to your agent, especially when paired with Hermes for live data.
About
Clara is a Model Context Protocol server from South London Scientific that gives UK developers and residents personal clean-air planning through an agent. Instead of opening separate apps or scraping dashboards, you register the remote MCP endpoint in Claude Code, Cursor, Codex, or similar clients and ask for advice tailored to British contexts—commute timing, outdoor breaks, and how your day might add up exposure-wise. The server description positions Clara for personal air quality advice and daily exposure assessment; it is meant to work alongside Hermes when you need live measurement-backed answers rather than generic wellness tips. For operators who work from home, cycle in cities, or travel between UK sites, Clara turns environmental monitoring into a conversational workflow inside the same IDE where you ship code. It is not a generic LLM plugin—it is a domain-specific MCP with a declared HTTP transport, version 0.3.0, and an explicit pairing story with Hermes for data freshness.
- Streamable HTTP MCP remote at clara-mcp.southlondonscientific.com for agent-native queries
- UK personal clean-air planning and daily exposure assessment in plain language
- Designed to pair with Hermes MCP for live air-quality readings rather than static guesses
- Published server schema v2025-12-11 with Clara v0.3.0 metadata
- South London Scientific branding and website integration for trust and documentation
Clara — Personal Clean Air Planner MCP by the numbers
- Exposes 2 verified tools (MCP introspection)
- Data as of Aug 10, 2026 (Skillselion catalog sync)
claude mcp add --transport http clara https://clara-mcp.southlondonscientific.com/mcpAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Transport | HTTP |
|---|---|
| Auth | None |
| Tools | 2 |
What it does
Connect your coding agent to UK-focused personal air-quality guidance and daily exposure checks while you plan outdoor work or commutes.
Who is it for?
UK-based developers and developers who want personal air-quality coaching inside Claude Code or Cursor, and who will also connect Hermes for live sensor or feed-backed context.
Skip if: Skip if you're outside the UK looking for global regulatory compliance dashboards, or developers and need a self-hosted air-quality database instead of a hosted MCP remote.
What you get
After you add the Clara remote MCP, your agent can reason over UK-oriented clean-air guidance and structured daily exposure assessment, and you can combine it with Hermes when you need live readings.
- Agent-ready UK personal clean-air recommendations grounded in Clara’s domain tools
- Daily personal exposure assessment summaries you can act on before outdoor or commute decisions
- A documented MCP pairing path with Hermes for live-data-backed planning
By the numbers
- Server version 0.3.0 per published server.json
- Single streamable-http remote endpoint declared for Clara MCP
- Explicit pairing with Hermes MCP for live air-quality data per server description
Tools 2
Public tool metadata - what this server can do for an agent.
contextual_advice10 paramsPersonalised 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 locat
postcodelatitudelongitudepm25no2settingstringhas_gas_cookerbooleancommute_modehas_indoor_sourcesbooleanaudiencestring
exposure_assessment8 paramsEstimate 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").
home_postcodestringrequiredwork_postcodetransport_modestringwork_frequencystringcommute_hourcooker_typestringsmoking_at_homebooleantube_line
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FAQ
Who is Clara for?
Clara is for UK residents and developers who use MCP-capable agents and want personal clean-air planning and exposure checks without switching to a separate health or weather app.
When should I use Clara?
Use Clara when you are planning outdoor time, commutes, or work-from-café days in the UK and want daily exposure assessment; pair with Hermes when decisions must reflect live air-quality data.
How do I add Clara to my agent?
Register the streamable HTTP MCP remote https://clara-mcp.southlondonscientific.com/mcp in your client’s MCP server config (Claude Code, Cursor, Codex, or compatible hosts), then invoke Clara tools from the agent session.