"ADHD-related resources and information in Montgomery County Public Schools" matching MCP tools:

• browse-schoolsA

  Motley — NYC Neighborhoods, Schools & AdmissionsA

  Find NYC schools citywide by what a family wants — borough, community school district (1-32), grade band (pre-K/elementary/middle/high), school type (public/charter/private), admissions method (zoned, screened, unscreened, limited unscreened, ed-opt, audition, SHSAT, charter lottery, private, universal pre-K), and program focus (arts, sports, STEM, language, academic, clubs). Use this when the family describes the KIND of school they want; use get-schools when you already have an nta_code and want everything in that neighborhood. Pass only the filters actually stated — at least one is required, and an invented one returns nothing. Program focus is tagged on public and charter schools only.

  ConnectorNo auth

• get_rental_yieldA

  Cenogram - Polish Real Estate DataA

  EXPERIMENTAL (beta): this tool may change or be withdrawn without notice; do not build critical workflows on it. Estimate the gross rental yield for a Polish city or county: annualized median asking rent (PLN/m²/month × 12) divided by the median apartment transaction price per m² (secondary market) from the RCN registry. Gross and top-line only — excludes vacancy, management, tax and maintenance. Indicative, not investment advice. Address by location (city name → resolves to a county) OR teryt (4-digit county code; 6-digit = dzielnica where available, today Warszawa's 18 districts, otherwise truncated to the county; teryt wins when both are given). Both sides need at least 5 samples or the result is suppressed. Not comparable across cities with different as_of dates (RCN publication lag varies by county). Rent and transaction prices come from different sources, so the yield is an approximation. Coverage is county-level only (miasta na prawach powiatu) plus Warszawa's 18 districts, and further limited to cities with asking-rent data. A town inside a larger powiat (e.g. Sandomierz, Pruszków), a non-Warszawa city district, or an osiedle does NOT resolve and returns a 404 — do not pass such names. Unless the location is a major city you already know is covered, call list_rental_yield_locations FIRST to get valid names, or pass a 4-digit county TERYT. Optional areaBucket restricts both sides to an apartment area range in m2 (e.g. '40-50'). Area ranges are NOT additive — a bucket does not sum back to 'all'. The transaction-price denominator uses the market median. Note: median/average prices are market-based — fractional ownership shares and non-market deeds (public tenders, foreclosures, privileged/subsidized sales) are excluded from price aggregates. Transaction counts and coverage stay complete.

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• well_get_entityA

  WellA

  Read ONE entity with its sub-resources nested in a single call. Convenience over well_get_schema + well_query_records: resolves the field paths for you and returns the single record with its related data expanded. depth (relation-nesting BOUNDARY, 1-3, default 1): 1 = the entity + its direct sub-resources (emails, phones, locations, …) 2 = + the sub-resources' related scalars 3 = the full level-3 graph (LARGER payload — use when you need the whole picture) Stops at depth 3. Aggregates are excluded. Each child collection is capped at 50 rows; for a full list or to page a large child collection, use well_query_records on that child root instead.

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• md_dmv_vehicle_registrationsA

  Maryland MVAA

  Count vehicles registered in Maryland by county for a given month, from Maryland Motor Vehicle Administration (MVA) data published monthly since 2020. Returns each county's registered-vehicle count plus the genuine statewide total for that month and each county's share of it, so it answers "how many vehicles are registered in Montgomery County Maryland", "which Maryland county has the most registered vehicles", "how many cars are registered in Maryland", and month-over-month trend questions via the `month` argument. Counts the whole registered fleet of every fuel type; for the electric and plug-in hybrid slice of it use md_dmv_ev_adoption.

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• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

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• pa_dmv_ev_adoption_by_zipA

  Pennsylvania DMV (PennDOT)A

  Break Pennsylvania electric-vehicle registrations down to the ZIP code, from PennDOT Driver & Vehicle Services: battery-electric, plug-in hybrid, fuel-cell and conventional hybrid counts for each of roughly 1,830 Pennsylvania ZIP codes, with that ZIP code's total registered vehicles and plug-in share. Answers "how many EVs are registered in ZIP 19103", "which Pennsylvania ZIP code has the most electric vehicles", "EV share in ZIP 15213", and neighbourhood-level adoption questions that a county figure averages away. Supply `zip` for one ZIP code, or omit it to rank them. For county figures and the statewide Pennsylvania total use pa_dmv_ev_adoption.

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• get_infrastructure_signalsA

  Cenogram - Polish Real Estate DataA

  Signals that a Polish municipality is about to build infrastructure — sewerage, water supply, roads, street lighting, gas network or cycling infrastructure. Three independent public sources: tenders published in the national public procurement bulletin (rolling 12-month window), membership in an agglomeration of the national urban waste-water treatment programme (where collective sewerage exists or is planned), and the municipality's own planned capital expenditure from its multi-year financial forecast. Address by location (city/county name → aggregates every municipality in that county) OR teryt (6-7 digits = one municipality, 4 digits = a county aggregate). teryt wins when both are given. Use list_locations to find codes. Known limits, state them when you report results: the bulletin carries only contracts BELOW the EU procurement thresholds (from 2021), so the largest investments are not visible here. A tender is attributed to the SEAT of the contracting authority, not to the works location — county and national authorities tender works in other municipalities. The category counters therefore include municipal authorities only, while the recent-notice list shows every authority with a flag. Absence of tenders is NOT evidence that a municipality is not investing. Cost: 1 token.

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• adw.county_cancerA

  AlpineDataWorks Intelligence ServerB

  Age-adjusted all-sites cancer incidence index for any US county (ADW-303, USCS SEER+NPCR 2019-2023). Returns national percentile rank, band, rate per 100k, and top cancer sites. Pass `county` as a 5-digit county FIPS (e.g. '12011') or 'County Name, ST' (e.g. 'Lee County, FL'). Coverage: ~3,049 counties (AK/CT/KS/LA absent due to USCS suppression).

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• get_crosby_newsA

  Crosby, TX WeatherA

  Recent local news headlines for Crosby, TX and nearby northeast Harris County communities, aggregated from public sources and filtered for relevance. Empty when nothing recent.

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• pa_dmv_ev_adoptionA

  Pennsylvania DMV (PennDOT)A

  Measure electric-vehicle adoption in Pennsylvania from PennDOT Driver & Vehicle Services registration data: how many battery-electric, plug-in hybrid, hydrogen fuel-cell and conventional hybrid vehicles are registered in each Pennsylvania county in a given quarter, and what share of that county's registered fleet is plug-in. Returns a genuine statewide Pennsylvania total alongside every county, so it answers "how many EVs are registered in Pennsylvania", "EV share in Allegheny County", "which Pennsylvania county has the most electric vehicles", "how many Teslas-era battery-electric cars are registered in Philadelphia", and quarter-over-quarter growth via the `year` and `quarter` arguments (2023 onward). For ZIP-code detail use pa_dmv_ev_adoption_by_zip; for the whole registered fleet across every fuel type use pa_dmv_vehicle_registrations.

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• md_dmv_ev_adoptionA

  Maryland MVAA

  Measure electric-vehicle adoption in Maryland from Maryland MVA registration counts: how many battery-electric and plug-in hybrid vehicles are registered in a county or a ZIP code each month, split by fuel category, with a statewide Maryland total for context. Answers "how many EVs are registered in Montgomery County Maryland", "EV registrations in ZIP 20852", "which Maryland county has the most electric vehicles", "which Maryland ZIP codes have the most EVs", and EV growth over time via the `month` argument (monthly since 2020). Pass `zip` or group_by="zip" for the ZIP-level file, otherwise results come back by county. For Maryland's whole registered fleet across every fuel type use md_dmv_vehicle_registrations.

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• get_flood_riskA

  Cenogram - Polish Real Estate DataA

  EXPERIMENTAL (beta): this tool may change or be withdrawn without notice; do not build critical workflows on it. Report what share of a Polish county's real-estate transactions sit on land in a mapped flood-hazard zone, broken down by severity, from the RCN registry. Severity bands are return periods: high = most frequent flooding (~1-in-10-year), medium (~1-in-100-year), low = rarest (~1-in-500-year). Counts land in a mapped hazard zone only; absence of a zone is never asserted as 'safe' (an area may be unmapped). Address by location (city/county name → resolves to a county) OR teryt (4-digit county code; longer codes truncate to the county; a district code resolves to its county — exposure is reported at county level; teryt wins when both are given). Aggregated over the whole transaction history (all-time, no date window). Suppressed below 5 assessed transactions. Coverage is county-level. Unless the location is a major city you already know is covered, call list_flood_risk_locations FIRST to get valid names, or pass a 4-digit county TERYT.

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• health_topicA

  nutritionA

  What to eat for a health goal — the nutrients involved, why each one, and which raw recipes carry them. Call this before answering "what should I eat for X". Accepts a goal ("gut health", "bone-health") or a named condition ("PCOS", "ADHD", "anaemia"): condition names resolve even though topic titles are physiological. Crucially, topics that people reach for with a diagnosis carry an explicit note saying what the evidence does and does NOT support, at its own rating — for ADHD and autism that note says diet is not a treatment, per NICE. Reproduce those notes rather than summarising them away. Omit the argument to list every topic.

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• get_unemployment_rateA

  BLS Employment & WagesA

  Get unemployment rate time series from BLS LAUS data. Returns monthly unemployment rates for a state or county. Data is returned in chronological order with year, period, and percentage value. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA', 'NY'). county_fips: Optional 3-digit county FIPS code (e.g. '033' for King County). If provided, returns county-level data; otherwise state-level. start_year: Start year for data (default 2020, min 4-digit year). end_year: End year for data (default 2025).

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• get_county_sviA

  CDC Social Vulnerability IndexA

  Get CDC Social Vulnerability Index data for counties in a state. Returns overall SVI percentile ranking and all four theme breakdowns (socioeconomic status, household composition/disability, minority status/language, housing type/transportation) plus key indicator estimates for each county. SVI values range 0-1 (percentile ranking); higher = more vulnerable. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). county_fips: Optional 5-digit county FIPS code to get a single county. year: SVI data year (default 2022, currently only 2022 available).

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• get_tract_sviA

  CDC Social Vulnerability IndexA

  Get tract-level CDC Social Vulnerability Index data within a county. Returns overall SVI and all four theme percentile rankings for each census tract in the specified county. Useful for identifying sub-county areas of high vulnerability. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). county_fips: 5-digit county FIPS code (e.g. '53033' for King County, WA). year: SVI data year (default 2022, currently only 2022 available). limit: Maximum number of tracts to return (default 50, max 500).

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• get_food_insecurity_indicatorsA

  USDA Food AccessA

  Get food-related economic indicators as proxies for food insecurity by county. Combines SNAP participation rate (B22001), poverty rate (B17001), and median household income (B19013) to build a food insecurity risk profile. Higher SNAP rates, higher poverty, and lower income correlate with greater food insecurity. Useful for grant narratives demonstrating community need. Args: state: Two-letter state abbreviation (e.g. 'WA', 'MS') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County, WA). Omit to get all counties in the state. year: ACS 5-year estimate year (default 2022). Data covers year-4 through year.

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• get_food_environmentA

  USDA Food AccessA

  Get county-level food access risk profiles using Census ACS data. Constructs food access risk profiles by combining vehicle access (B25044), poverty status (B17001), and SNAP participation (B22001). Limited vehicle access combined with high poverty indicates food desert risk. Useful for identifying areas with barriers to food access in grant applications. Args: state: Two-letter state abbreviation (e.g. 'WA', 'MS') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County, WA). Omit to get all counties in the state.

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• get_county_demographicsA

  Census ACS DemographicsA

  Get demographic data for counties: population, median age, race, Hispanic origin, income, and poverty. Returns one record per county with total population, median age, racial breakdown (White, Black, American Indian, Asian, Pacific Islander, Other, Two+), Hispanic/Latino percentage, median household income, and poverty rate. Args: state: Two-letter state abbreviation (e.g. 'WA', 'CA') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County). Omit to get all counties in the state. year: ACS 5-year estimate year (default 2022). Data covers year-4 through year.

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• get_commuting_dataA

  Census ACS DemographicsA

  Get means of transportation to work data for counties. Returns worker counts and percentages for: drove alone, carpooled, public transit, walked, bicycle, taxi/motorcycle/other, and worked from home. Args: state: Two-letter state abbreviation (e.g. 'WA', 'CA') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County). Omit to get all counties in the state. year: ACS 5-year estimate year (default 2022).

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• get_ej_county_summaryA

  EPA EJScreenA

  Get EJ indicators for census block groups in a county. Returns EJScreen environmental justice data for block groups within the specified county, sorted by highest overall environmental burden. Includes environmental indicators, demographic data, and EJ indexes. Args: state: Two-letter US state abbreviation (e.g. 'WA', 'CA'). county_fips: County FIPS code, either 5-digit full (e.g. '53033') or 3-digit county portion (e.g. '033'). If 3 digits, state FIPS is prepended automatically. limit: Maximum number of block groups to return (default 50, max 500).

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