Clara — Personal Clean Air Planner
Server Details
UK personal air quality advice and daily exposure assessment. Pairs with Hermes for live data.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.2/5 across 2 of 2 tools scored.
The two tools have clearly distinct purposes: contextual_advice provides personalized air quality advice based on context, while exposure_assessment estimates daily pollution exposure using time-weighted modelling. No overlap in functionality.
Both tool names follow a consistent noun_noun pattern with underscores: contextual_advice and exposure_assessment. The naming is predictable and clear.
With only two tools, the server feels somewhat sparse for a 'Personal Clean Air Planner'. While the tools are well-scoped, additional tools (e.g., for historical data or indoor air quality tips) could enhance utility without bloating.
The tool set covers personalized advice and exposure assessment, which are core to the server's purpose. However, it lacks a tool for fetching raw air quality data independently (relying on another server), and could benefit from a tool to manage user preferences or settings.
Available Tools
2 toolscontextual_adviceInspect
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.
| Name | Required | Description | Default |
|---|---|---|---|
| no2 | No | ||
| pm25 | No | ||
| setting | No | residential | |
| audience | No | general | |
| latitude | No | ||
| postcode | No | ||
| longitude | No | ||
| commute_mode | No | ||
| has_gas_cooker | No | ||
| has_indoor_sources | No |
exposure_assessmentInspect
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").
| Name | Required | Description | Default |
|---|---|---|---|
| tube_line | No | ||
| cooker_type | No | unknown | |
| commute_hour | No | ||
| home_postcode | Yes | ||
| work_postcode | No | ||
| transport_mode | No | walk | |
| work_frequency | No | most_days | |
| smoking_at_home | No |
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!