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205,114 tools. Last updated 2026-06-16 04:11

"Hermes" matching MCP tools:

  • Generic protective-action guidance for a category of situation (NOT keyed to an individual user's context). For *personalised* advice that takes the user's specific health situation into account (asthma, pregnancy, gas cooker, tube commute, indoor sources), prefer the Clara MCP server's `contextual_advice` tool — it composes Hermes live readings with personal context to give an answer keyed to *this* user, *now*. Use this KB tool only as a fallback or when Clara is not available. Args: situation: One of "high_pollution_day", "commuting", "exercise", "school_run", "indoor_air", "planning_objection", "pregnancy", "child_asthma". Returns practical advice document (markdown).
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  • Comprehensive air quality assessment for a location in one call. Combines nearby monitor discovery and current readings with DAQI into a single response. Use this as the first tool call for any air quality question about a location. For long-term trend analysis, use the dedicated `trend_analysis` tool. Returns a structured 'summary' dict with purpose-appropriate sections. Present the summary description to users first. Args: location: Postcode, place name, or "lat,lon". purpose: What the user needs — "general" (default), "health" (safety/worry), "exercise" (outdoor activity), or "planning" (homebuying/school assessment/long-term).
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  • Generate a time series chart of air quality data. Returns a PNG chart image with a brief text summary. Use this when users ask about trends, patterns, or want to visualise air quality over time. Args: start_date: Start date (ISO format, e.g. "2025-01-01"). end_date: End date (ISO format). location: Postcode, place name, or "lat,lon". Provide this or site_code. site_code: Direct site code. Provide this or location. pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Defaults to NO2, PM2.5, PM10, O3 if not specified. frequency: "hourly", "daily", or "monthly" (default "daily"). show_who_guidelines: Show WHO guideline reference lines (default True). show_daqi_bands: Show DAQI band background shading (default True).
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  • Architecture reference for Fractera AI Workspace: what it is made of and how it works (the admin drives it through Hermes — chat Web UI or Telegram — or directly through the five coding agents; a modal subscription sign-in layer + MCP keep work resilient when a subscription is limited; LightRAG is the central memory that slashes token use; Hermes is a light orchestrator while the coding agents do the heavy lifting; the result ships over HTTPS on a custom domain or plain HTTP on an IP). RETURNS A DIAGRAM IMAGE URL you can show the user when they ask what Fractera is or how it works. Call with NO arguments to get the wide illustration URL + the core "how it works" scenario + the section list; call again with a single `section` id to read one entity in depth.
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  • Explains the Fractera development loop: how one admin request becomes tested, deployed, recorded code with no human writing it — Hermes orchestrates and loads its identity + project context, picks a ready coding agent (Claude Code, Codex, Gemini, Qwen, Kimi), the agent is enriched (SOUL.md / AGENTS.md / GLOSSARY.md / completed steps), generates a task then code, it is built and deployed, and the result branches (error feeds back; success updates the completed steps and the deployments tab) — all grounded by LightRAG memory at every step. RETURNS A DIAGRAM IMAGE URL you can show the user when they ask how Fractera builds software or how its agents work. Call with NO arguments to get the diagram URL + the "how the loop works" overview + the section list; call again with a single `section` id to read one stage in depth.
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  • Compare current air quality across multiple locations side-by-side. Returns a ranked comparison by pollutant with DAQI bands and distance to nearest monitor. Useful for comparing development sites, school locations, or residential options. Args: locations: List of 2–6 locations (postcodes, place names, or "lat,lon"). pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Default: all available.
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  • Explains the Fractera development loop: how one admin request becomes tested, deployed, recorded code with no human writing it — Hermes orchestrates and loads its identity + project context, picks a ready coding agent (Claude Code, Codex, Gemini, Qwen, Kimi), the agent is enriched (SOUL.md / AGENTS.md / GLOSSARY.md / completed steps), generates a task then code, it is built and deployed, and the result branches (error feeds back; success updates the completed steps and the deployments tab) — all grounded by LightRAG memory at every step. RETURNS A DIAGRAM IMAGE URL you can show the user when they ask how Fractera builds software or how its agents work. Call with NO arguments to get the diagram URL + the "how the loop works" overview + the section list; call again with a single `section` id to read one stage in depth.
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  • Analyse the long-term trend in a pollutant near a location. Uses Theil-Sen slope estimation with Mann-Kendall significance testing to determine whether air quality is improving, worsening, or stable. Robust to outliers and missing data. Returns a 'summary' with plain-English trend description and statistical details. Present the summary to users first. Args: location: Postcode, place name, or "lat,lon". pollutant: Pollutant to analyse — "NO2", "PM2.5", "PM10", "O3" (default "NO2"). years: Number of years of data to analyse (default 5, range 2–5). Requests outside this range are clamped; the response includes ``metadata.years_clamped`` and a note in ``summary`` when so.
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  • Analyse when pollution is highest — hour of day, day of week, and month. Returns temporal profiles showing typical patterns. Useful for advising on best times for outdoor exercise, school runs, or commuting. Args: location: Postcode, place name, or "lat,lon". pollutant: Pollutant to analyse — "NO2", "PM2.5", "PM10", "O3" (default "NO2"). period: Time window — "last_month", "last_3_months", "last_6_months", or "last_year" (default).
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  • List air quality monitoring sites near a location, with context. Returns a 'summary' explaining how many monitors were found, their operational status, and what each monitor type represents. Present the summary to users first. Also returns a 'monitors' list with full metadata. Args: location: Postcode, place name, or "lat,lon". radius_km: Search radius in kilometres (default 5.0). sources: Optional filter, e.g. ["AURN", "BREATHE_LONDON"].
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  • Get plain-language explanations of monitoring methods and limitations. Args: topic: One of "how_monitors_work", "regulatory_vs_lowcost", "what_readings_mean", "why_numbers_differ", "representativeness", "data_quality", "what_monitors_measure". Returns monitoring explainer document (markdown).
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  • 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.
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  • Get LAQM Annual Status Report-style statistics for a location. Returns annual means, percentiles, exceedance counts, data capture percentages, and compliance assessment against UK legal limits and WHO guidelines. Args: location: Postcode, place name, or "lat,lon". year: Calendar year to report on (default: most recent complete year). pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. Default: all available.
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  • Get an AQI assessment with health advice and WHO compliance check. Returns a 'summary' with a plain-English health assessment, advice for general and at-risk populations, and WHO guideline context. Present the summary to users first. Also returns raw 'aqi' and 'who_compliance' data. Args: location: Postcode, place name, or "lat,lon". index: AQI system — "UK_DAQI" (default), "WHO", or "US_EPA". period: "current", "today", "this_week", or "this_month".
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  • Get the most recent air quality readings near a location, with health context. Returns a 'summary' with a plain-English health assessment and advice for general and at-risk populations. Present the summary to users first. Also returns individual 'readings' from nearby monitors and 'metadata' about data freshness and sources. Args: location: Postcode, place name, or "lat,lon". radius_km: Search radius in kilometres (default 2.0). pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. sources: Optional filter, e.g. ["AURN", "BREATHE_LONDON"].
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  • Get current air quality guideline and target values. Args: framework: "WHO", "UK", "EU", or "all" (default). pollutant: Optional filter for a specific pollutant. Returns the full guidelines document (markdown).
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  • Get health evidence summaries for a pollutant and population group. Args: pollutant: "NO2", "PM2.5", "PM10", or "O3". population_group: "general", "children", "elderly", "respiratory", "cardiovascular", or "pregnant" (default "general"). Returns health effects document (markdown).
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  • Get historical air quality data for a site or location, with health context. Returns a 'narrative' with plain-English interpretation of trends, WHO guideline exceedances, and guideline comparisons. Present the narrative to users first. Also returns raw 'data' and 'summary' statistics. Args: start_date: Start date (ISO format, e.g. "2025-01-01"). end_date: End date (ISO format). location: Postcode, place name, or "lat,lon". Provide this or site_code. site_code: Direct site code. Provide this or location. pollutants: Optional filter, e.g. ["NO2", "PM2.5"]. frequency: "hourly", "daily", or "monthly" (default "daily").
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  • Architecture reference for Fractera AI Workspace: what it is made of and how it works (the admin drives it through Hermes — chat Web UI or Telegram — or directly through the five coding agents; a modal subscription sign-in layer + MCP keep work resilient when a subscription is limited; LightRAG is the central memory that slashes token use; Hermes is a light orchestrator while the coding agents do the heavy lifting; the result ships over HTTPS on a custom domain or plain HTTP on an IP). RETURNS A DIAGRAM IMAGE URL you can show the user when they ask what Fractera is or how it works. Call with NO arguments to get the wide illustration URL + the core "how it works" scenario + the section list; call again with a single `section` id to read one entity in depth.
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