Skip to main content
Glama
467,333 tools. Updated 2026-08-22 03:29

"A search assistant for finding Hisense air conditioners" matching MCP tools:

  • Get the current air quality for a city, from real-time monitoring and atmospheric model data. Use for any "what's the air quality in X", "is it safe to go outside in Y", "how polluted is Z" style question, or whenever pollen/smog/wildfire-smoke/pollution conditions are relevant to a plan (running, cycling, sensitive-groups advice, travel). `city` is a free-text place name (e.g. "Bangkok", "Berlin", "Springfield, US"). Returns a dict with: - `location`: resolved place name/country/admin1 - `us_aqi`: the current US Air Quality Index (0-500+) - `aqi_category`: plain-language category computed from `us_aqi` -- "Good" (0-50), "Moderate" (51-100), "Unhealthy for Sensitive Groups" (101-150), "Unhealthy" (151-200), "Very Unhealthy" (201-300), or "Hazardous" (301+); "Unknown" if no AQI could be resolved for that location - `pm2_5`, `pm10`: particulate matter concentrations (ug/m3) - `ozone`, `nitrogen_dioxide`, `sulphur_dioxide`, `carbon_monoxide`: trace gas concentrations (ug/m3) - `local_time`: the timestamp of the reading, in the location's local time - `attribution`
    Connector
  • Find air-quality monitoring stations (measured by physical sensors, not modeled) near a point, within a bounding box, or by country. Returns each station's id, name, coordinates, distance from the query point (when searching by coordinates), country, provider, the parameters its sensors measure, and the timestamp of its most recent data (datetimeLast). Required first step: openaq_get_readings and openaq_get_measurements key on the location id this returns. Coverage is uneven and real — a station only reports the parameters it measures, and the absence of a nearby station means no monitoring there, not clean air. For dense modeled coverage anywhere on Earth, use open-meteo-mcp-server's air-quality tool instead.
    Connector
  • Show what the user (or their AI assistants) has recently done in ExpenseBot via this MCP server: which tools were called, when, with what arguments, and whether they succeeded. This is a log of assistant TOOL CALLS, not the processing history of a document. Useful for questions like 'what did I do this week' or 'which tools has my assistant run', and to give the user transparency into AI-assisted actions. Returns the most recent N entries from the audit log (default 20, max 100).
    Connector
  • Reference-free stability primitive: instead of comparing an answer to a ground truth, it checks that an assistant's answer stays INVARIANT when the QUESTION is transformed (typo, casing, paraphrase, reordering, translation). Catches the failure class no reference answer can expose — an assistant that handles one phrasing well and a trivial variant of it badly. You bring the outputs (no model is called), so it is deterministic and free in tfidf mode. Relations: case (θ .95), typo (.90), paraphrase (.80), reorder (.80), translation (.75, embeddings only), specialization (.60, ADVISORY — directional, never gated). Returns PASS / FAIL / INVALID, where INVALID means the BASE answer was a refusal or too short so invariance was never measurable — an assistant that refuses every variant would otherwise score a perfect 1.0. Use run_semantic_tests alongside it: invariance without a correctness floor is a green light for a broken assistant.
    Connector
  • Find citizen science sensor stations (senseBox, openSenseMap network) near a lat/lon and return their latest readings — hyperlocal temperature, humidity, air pressure, PM2.5/PM10 air quality, illuminance, UV, noise. Answers "sensor readings near me", "what does the local air quality sensor say". Community-operated uncalibrated hardware: quality varies, so cross-check outliers. Filter to one measurement type with `phenomenon` (Phenomenon names on openSenseMap are mostly German (exact sensor titles): "Temperatur" (temperature °C), "rel. Luftfeuchte" (relative humidity %), "Luftdruck" (air pressure hPa), "PM2.5" and "PM10" (particulate matter µg/m³), "Beleuchtungsstärke" (illuminance lx), "UV-Intensität" (UV µW/cm²), "Lautstärke" (noise)). Stations silent for more than 7 days are skipped unless include_stale=true. Example: opensensemap_nearby({ latitude: 52.52, longitude: 13.405, phenomenon: "PM2.5" })
    Connector
  • List and search official Netherlands air quality measuring stations (RIVM Luchtmeetnet). Filter by place or station name (Amsterdam, Rotterdam, Utrecht, Den Haag...), or pass latitude/longitude to get the nearest stations with distance. Returns station number (e.g. "NL49012"), location, and coordinates — the station number feeds luchtmeetnet_measurements and luchtmeetnet_air_quality_index. Example: luchtmeetnet_stations({ search: "Amsterdam" })
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Free, keyless real-time air quality (US AQI plus PM2.5, PM10, ozone, NO2, SO2, CO) for any city.

  • Build, validate, deploy — HTTP APIs, cron jobs, webhooks and MCP tools — from your AI client. Air Pipe MCP token as a bearer credential, e.g. 'Authorization: Bearer <token>'. Create one at https://app.airpipe.io/

  • Use this when an assistant needs instructions for CourseProfiler's REST artifact upload flow or needs to explain why hosted MCP cannot upload bare local paths. This is an instruction helper, not a raw-byte MCP upload tool.
    Connector
  • Get a ONE-CALL overview of everything InfraNode knows about a German city. Start here for any city question. Returns: the city's base data, a CATALOG of all 81 available data types (weather, air quality, public transit, trains, traffic, charging, parking, solar, energy, demographics, taxes, accidents, tourism, heritage, trees, population density, playgrounds, post boxes and many more), each with its coverage status and the exact tool to call next (for most data types that is ``get_city_resource(slug, resource=<type>)``), plus a small live highlights snapshot (current weather, air quality and train departures). Data types not yet covered for this city show where they ARE available so you can pivot. InfraNode keeps adding data and cities, so the catalog grows over time. Read-only.
    Connector
  • Send a user an assistant GM (co-GM) offer for a campaign. This does NOT add them immediately: the target must accept the offer before they become an assistant GM. Owner-only — the calling user must be the campaign's primary GM. Maximum 5 co-GMs per campaign.
    Connector
  • Get the full text of one EPA regulation — a US Environmental Protection Agency rule codified in 40 CFR — by its citation. Returns the exact regulatory wording currently in force. Answers "what does 40 CFR 261 say", "what is the EPA regulation for X", "does the EPA require X", "read 40 CFR 60.1", "the RCRA hazardous waste rule", "the Clean Air Act / Clean Water Act regulation for X". Forgiving citation input: "261.4", "40 CFR 261.4", "§60.1", even "261.4(a)" (paragraph stripped to the section). Covers 40 CFR part 60 new source performance standards (emission standards / Clean Air Act), part 261 identification & listing of hazardous waste (RCRA), part 262 hazardous waste generators, part 122 NPDES permits (Clean Water Act), part 141 national primary drinking water regulations, part 63 NESHAP air toxics, TSCA parts (700s) toxic substances — the whole of Title 40 (air, water, waste, chemicals). This is EPA REGULATIONS (the rules/regulatory text); for EPA DATA (facility enforcement, ECHO compliance, GHG emissions) use the epa-echo / epa-emissions tools. Pass a whole part (e.g. "261" or "60") to get that part's section list. Example: epa_regulation({ citation: "261.4" }) -> exclusions from hazardous waste; epa_regulation({ citation: "40 CFR 60.1" }) -> applicability of emission standards. Keyless.
    Connector
  • Current U.S. Air Quality Index for the Houston metro area (the Houston-Galveston-Brazoria reporting area, which includes Crosby, TX). Measured by EPA/AirNow monitors when available (measured:true), with an Open-Meteo modeled fallback (measured:false). Regional, not a Crosby-pinpoint reading.
    Connector
  • Return EUR-Lex search URL for finding regulation provisions by keyword. Use when you don't know the exact article number but need to find relevant provisions. Requires Velvoite Premium API key. Args: query: Search terms (e.g. 'data processing agreement processor obligations'). regulation: Optional regulation code to scope the search (e.g. 'gdpr').
    Connector
  • Get the air quality forecast for a ZIP code. Returns forecast AQI values and health categories for upcoming days, typically covering today and the next 1-2 days. Args: zip_code: US ZIP code (e.g. '20001').
    Connector
  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
    Connector
  • "Air quality / AQI in [city]" / "is the air safe to breathe in [location]" / "pollution levels for [place]" / "smoke / smog / wildfire-smoke forecast" / "pollen forecast" — global air quality and pollen forecast at any lat/lng. Returns PM2.5, PM10, ozone (O3), NO2, SO2, CO, dust, and pollen (alder/birch/grass/mugwort/olive/ragweed) up to 5 days ahead, plus European AQI / US AQI. Free, keyless.
    Connector
  • Report a problem with this documentation site so the docs team can fix it. Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example. This is for feedback about the documentation content itself — not for product support requests or feedback about this tool or assistant.
    Connector
  • Get official air quality for a German city (PM10, NO2 and more). Sourced from the Umweltbundesamt (UBA). Read-only. For live nearest-station hourly readings use ``get_city_resource(slug, resource='air')`` instead.
    Connector
  • Returns a 0-100 US air-travel recovery index (TSA checkpoint passenger volumes, tsa.gov keyless; 30-day mean vs 365-day baseline, weekly since 2019) with score, trend, confidence, top_drivers, recovery_ratio, current/baseline means, latest daily count. Call when the user asks about air travel demand, TSA throughput, passenger volumes, airport traffic, or travel recovery, or when timing dynamic pricing and promotions for hospitality or airport-adjacent retail. Updates: weekly.
    Connector
  • Returns a 0-100 composite air-quality index for major US metros (daily Open-Meteo US-AQI readings across a metro sample, z-scored against history since 1990) with current score, percentile, trend history, and source lineage. Call when the user asks about air pollution, smog, AQI, PM2.5, wildfire smoke, or urban environmental health, or when timing quality-of-life adjustments in real-estate, relocation, or livability-scoring decisions. Updates: daily.
    Connector
  • Returns a 0-100 US air-quality burden score (mean EPA US AQI across 12 major metros, hourly, keyless Open-Meteo/CAMS) with worst_metro, share_unhealthy, and dominant_pollutant drivers plus a worst-first per-metro table. Call when the user asks about current air quality, wildfire smoke, ozone, or which US city is worst right now, or when timing outdoor operations, respiratory staffing, or air-quality-sensitive logistics. Updates: hourly.
    Connector