"A tool for converting imperial units to metric units" matching MCP tools:

• cooking_convert_unitsA

  SAVORDISHA

  Convert between cooking measurement units — cups, tablespoons, grams, ounces, milliliters, and more. TRIGGERS: - 'how many grams in a cup', 'convert tablespoons to cups' - 'ounces to grams', 'ml to cups', 'teaspoons in a tablespoon' - 'metric to imperial', 'cooking conversions'

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• weather_currentB

  Ready APIsB

  Current conditions at a latitude/longitude in imperial or metric units. Sourced from Open-Meteo.

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• bmi_calculatorC

  HelpySelfC

  A BMI calculator in metric or imperial, worked out in your browser. A HelpySelf tool (helpyself.com).

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• x402-metric-imperialD

  minia2a-mcpD

  Metric Imperial: Metric Imperial

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• bmi_calculatorA

  Calculate.co.nz NZ CalculatorsA

  Calculate Body Mass Index (BMI) from metric measurements. Returns BMI value, category classification (Underweight, Healthy weight, Overweight, Obese, Morbidly obese), and the healthy weight range for the person's height. Use for any BMI question including 'what is my BMI', 'am I a healthy weight', 'what should I weigh for my height'. Inputs are metric only. If the user provides imperial units (feet, inches, pounds, stone), convert them first: 1 foot = 0.3048m, 1 inch = 0.0254m, 1 pound = 0.453592kg, 1 stone = 6.35029kg. Note: BMI is a screening tool, not a diagnosis. It doesn't distinguish muscle from fat, so very athletic people often show as 'overweight' despite being healthy. Always caveat with this when relevant. Args: weight_kg: Weight in kilograms (e.g. 75 for 75kg). height_m: Height in metres (e.g. 1.75 for 175cm).

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• estimate_costA

  gisgpB

  FREE — quote a paid tool's cost WITHOUT executing it or charging the wallet (call this before assess_property_hazard etc.). `units` = candidate/item count for per-unit-priced tools (currently only rank_hazard_safe_sites — pass the number of candidates you intend to submit); ignored (treated as 1) for every flat-priced tool. Returns JSON: {ok, tool_name, units, credits, eur_estimate} for credits-wallet tools; for assess_property_hazard_x402 (paid on-chain via x402, not the credits wallet) returns {ok, tool_name, units, payment, price_usd} instead; or {ok: false, error} for an unknown/free tool name.

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• breakeven_marginA

  TrueCalciB

  Calculate cost-volume-profit break-even thresholds in units and revenue, contribution margin ratio, operational margin of safety, and degree of operating leverage (DOL). Behavior: Deterministic, idempotent calculation with zero external side effects. Computes Unit Contribution Margin = unitPrice - unitVariableCost; Contribution Margin Ratio = CM / unitPrice; Break-Even Units = fixedCosts / CM; Break-Even Revenue = Break-Even Units * unitPrice. If expected units sold is provided, computes Margin of Safety = (expectedUnits - breakEvenUnits) / expectedUnits and Degree of Operating Leverage. Returns detailed breakdown. Usage Guidelines: Use for pricing strategy, manufacturing and SaaS unit economics, and operational risk appraisal. Do not use for hourly freelance billing rate minimums; use billable_floor instead.

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• list_variablesA

  Suomiatlas — Finnish area statisticsA

  The catalogue of every metric Suomiatlas publishes — population, income, education, employment, buildings and dwellings, housing sale prices, crime rates, composite scores — grouped by theme, with codes, units and types. Call this to find the right `variableCode` for rank_areas or get_place_stats. Pass `variableCode` to get the years that metric covers instead; coverage differs per metric (Paavo 2010–2024, housing prices 2009–2025, air quality per municipality from 2019 with fewer stations in the early years). Air-quality codes (aq_pm25_avg, aq_pm10_avg, aq_no2_avg, aq_o3_avg) are municipality-grain and not in this catalogue; pass them to rank_areas directly. An empty year list for a code means it is unpublished, not that the metric is zero.

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• land_unitsA

  TrueCalciB

  Convert Indian regional and universal land measurement units under the Legal Metrology Act, 2009 and State Land Revenue Codes (UP, Punjab, Haryana, West Bengal, Gujarat, Bihar, Assam, HP, MP, Rajasthan). Behavior: Deterministic, idempotent conversion with fail-closed state disambiguation for regional units (Bigha, Katha, Biswa, etc.). Universal units (sqft, sqm, gaj/sqyd, acre, hectare, guntha, cent, ground, ankanam) resolve nationally. Returns target converted value, square foot baseline, and complete 7-unit standard breakdown. Usage Guidelines: Specify 'state' when converting traditional units (e.g. 'bigha' or 'katha') to avoid ambiguous multi-fold variance.

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• nbu_currency_historyA

  Nbu UaA

  Daily time series of the official NBU rate for ONE currency over a date range. Pass `valcode` (ISO-4217, e.g. USD) and `start`/`end` as YYYYMMDD. Returns one record per business day: {exchangedate (DD.MM.YYYY), cc, txt (Ukrainian name), enname (English name), rate (UAH per `units`), units, rate_per_unit}. Omit `valcode` to get every currency over the range. Newest first.

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• list_bess_unitsA

  nempulseA

  List every NEM-registered grid-scale battery (DUID, station, region, MW/MWh, MLF, coordinates, is_commissioning, commercial_context). rev_per_mw_yr is trailing 365-day energy + FCAS revenue (NOT FPP), gross (no MLF), divided by Max Cap MW, then annualised over the days the unit actually had dispatch data — not over a fixed 365-day denominator. This is a rough simulator guide, NOT a performance ranking. It is distorted for any unit with is_commissioning=true or commissioned within the last 365 days, because that span-annualisation extrapolates a few months of ramp-up behaviour out to a full year (scale-up factors of 1.5x-2.4x are live in the current data), which magnifies both weak and negative figures rather than diluting them — do NOT try to 'correct' it by rescaling to the unit's operating span, as that double-counts the annualisation. It is also inflated for small FCAS-primary units, and structurally biased against longer-duration units (shorter-duration units can concentrate power into the highest-price intervals). Do not use it to compare units, rank performance, or answer 'which battery earns most' — use get_battery_revenue over a matched window, or get_battery_optimal for capture. Before comparing any two units' revenue, check commercial_context on each — TOLLED/CONTRACTED units don't trade merchant and their spot revenue is not comparable. Null until the first background refresh completes.

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• wallet_balanceA

  pact0A

  **When to use**: Lightweight wallet snapshot — use when you don't need the full home dashboard. Values are in MICRO-units. Returns the calling agent's effective wallet view — balance, withdrawable, currency. Per ADR 0010 the wallet belongs to the agent's claimed-by principal; this tool surfaces that view for agents that haven't yet integrated the full /agents/me/home shape. Requires a LIVE token (a2l_live_*); a reg token gets registration_token_insufficient — reg-token agents should use the `home` tool instead, which carries the same balances. RESPONSE UNITS: `balance_micro` and `withdrawable_micro` are in micro-units (1 USD = 1,000,000); i.e. balance_micro=1_350_000 means $1.35.

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• list_benchmarksA

  OpenChainBenchA

  Returns a flat index of every published OpenChainBench benchmark with its current headline value, leader, category, units, and citation URL. Call this first when the user asks a discovery question like "what benchmarks does OpenChainBench have?" or "compare crypto aggregators". Then use `get_benchmark` for the specific slug(s) the answer needs. Returns one line per bench: { slug, title, category, metric, unit, value, leader, headline, url, asOf } Drafts are filtered out: only live benchmarks appear.

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• list_unit_typesA

  ClimatiqA

  List supported unit-type families (Energy / Volume / Distance / Mass / etc.) and their valid units.

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• convertA

  FrankfurterA

  Convert an amount from one currency to another. Returns {amount, currency} rounded to the target's minor units. Upstream rounds rates per direction; for low-value sources, flip via `get_rates` for more precision. Pass `provider` to use one institution's published rate, e.g. UST for a U.S. Treasury reporting rate.

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• brand_store_analyticsA

  AMZ VaultB

  Brand Store performance (Stores Analytics API): view='insights' = store traffic/sales by DATE / PAGE / SOURCE / STORE / TAG (visits, visitors, views, sales, units, orders; NEW_TO_STORE/DWELL_TIME/BOUNCE_RATE need dimension=STORE); view='asin_engagement' = per-ASIN engagement inside the store (views, clicks, add-to-carts, conversion rate, in-stock rate). Needs Brand Registry + a published Brand Store; omit brand_entity_id to auto-resolve via the brands list (multiple brands are listed back). Amazon allows one insights metric per request - multi-metric asks fan out and merge; pagination_token works on single-metric requests only.

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• buy_packA

  FlexYield — blockchain RPC gatewayB

  Start the purchase of a prepaid unit pack (s: 1.2M units $10 · m: 7M $50 · l: 32M $200, +5 % units when bought here). Returns a checkout URL for the account owner to complete on the card; units become available the moment the payment lands and are consumed after the plan's monthly quota. Valid 12 months. Read balances with billing_status.

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• search_subsidised_housingA

  DFX Real Estate IntelligenceB

  Search HUD's project-level Picture of Subsidized Households: 29,455 subsidised projects nationally, one row per project and programme, with units AVAILABLE (HUD's subsidised units available, which excludes units offline for rehab or disposition; occupancy is measured against these, so 100% of 20 available can be 20 of 50 built), occupied units, occupancy percent, MONTHS ON THE WAITING LIST, average rent, average household income, average tenure and what HUD pays per unit per month. Filter by state, city, programme (Public Housing, Section 8 NC/SR, Section 236, 202/PRAC, 811/PRAC, Mod Rehab), minimum waiting list, occupancy range and minimum units. Ordered by waiting list, deepest queue first. Every row carries the property dfx_id for get_property_record. Free. ONE ANNUAL CAPTURE, effective 2025-12-31, stated on every row: this is a snapshot of demand, not a change over time. A NULL waiting list is an absent disclosure (housing authorities report it, private owners under a HAP contract mostly do not), never an empty queue; min_waiting_months EXCLUDES such rows and the answer states how many projects in the same place report one. Tenant composition is not published here.

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• forecastA

  Tomorrow IoA

  Get a daily or hourly weather forecast for a location. Returns a list of forecast periods with conditions, temperatures, precipitation probability, and wind. Location can be "lat,lon" coordinates or a city name. Example: forecast({ location: "london", timestep: "1d", units: "metric" })

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• noaa_climate_fetch_dataA

  noaa-climate-mcp-serverA

  Fetch historical observation records from a NOAA CDO dataset for a given date range. Requires datasetId (e.g., GHCND for daily, GSOM for monthly), startDate, and endDate. Optionally scope to specific stations, locations, and data types. Date range limits per request: sub-daily, daily, and radar datasets (GHCND, PRECIP_15, PRECIP_HLY, NORMAL_DLY, NORMAL_HLY, NEXRAD2, NEXRAD3) are limited to 1 year; monthly and annual datasets (GSOM, GSOY, NORMAL_MLY, NORMAL_ANN) are limited to 10 years. A full calendar year always fits, leap years included — the limit runs to the end of the calendar month 1 (or 10) years after startDate. For climate normals (NORMAL_*), use startDate=2010-01-01 and endDate=2010-12-31 — that is the API proxy year regardless of which 30-year period is being described. Returns flat tuples of { date, datatype, station, value, attributes }. Strongly recommended: pass units=metric or units=standard — without it, GHCND values are raw tenths-of-unit integers (TMAX=256 = 25.6°C, PRCP=12 = 1.2mm). GSOM/GSOY are already scaled.

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• square_footageA

  calc.engineerA

  Calculates area and perimeter for common shapes — rectangle, circle, or triangle — in both imperial and metric units. Returns area in square feet, square meters, and acres, plus perimeter in feet and meters. For rectangles: area = length * width, perimeter = 2*(length + width). For circles: area = pi * r^2, perimeter = 2 * pi * r. For triangles: area = 0.5 * base * height, perimeter approximated as base + height + sqrt(base^2 + height^2). Useful for real estate, flooring, landscaping, and construction estimates.

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