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743,406 tools. Updated 2026-11-04 20:10

"A service for finding current weather conditions and forecasts" matching MCP tools:

  • Use this when the user wants weather history, historical weather data, historical weather by date and location, or a daily weather data download. Reads station observations and generates Excel and CSV weather logs with rain days for construction delay and thresholds. US only; up to five sites and 366 days, from 1900 through today UTC. Files expire in about an hour. Do not use for forecasts, current conditions or certified weather reports.
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  • Use this when someone wants a funny or rude weather forecast for a city. Looks up the current temperature and conditions for the named city and returns them with a one-line joke about the weather. The attitude level sets how strong the language is: "wuss" (default) is clean and mildly sarcastic, "mid" (Spicy) contains moderate swearing, "most" (Brutal) contains strong swearing. Returns the current conditions in degrees Celsius and the next few hours in 3-hour steps, plus a link to a shareable card and a link to the Weather With Attitude website. Clients that support MCP Apps also show the result as an interactive card. Do not use it for serious weather needs such as safety decisions, severe-weather alerts, warnings or multi-day forecasts: it issues no alerts or multi-day forecasts, and severe conditions (tornado, blizzard, squall) are reported plainly without a joke.
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  • Get historical and future temperature and precipitation projections for a location (1950–2050). Returns daily forecasts with temperature, precipitation, and weather conditions.
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  • US current conditions (NWS) — Latest observed conditions near a US coordinate: temperature, wind, humidity, visibility, pressure from the nearest weather station. Source: National Weather Service. JSON. Price: $0.003 USDC (Base, via x402).
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  • USE THIS TOOL WHEN you know the UK VAT category name for a good or service and want its VAT treatment. Exact named-category lookup, not a free-text VAT classifier or tax advice. The query must equal a category name, ignoring only case, spacing, hyphens and apostrophe style. Extra qualifying words are never discarded: 'pet food' is its own category, and 'baby food' is not 'food'. A match returns `rate` (standard, reduced, zero or exempt), `rate_percentage` (None for exempt), conditions in `notes`, the GOV.UK `source_url`, and that entry's `verified_on` date. An unresolved query returns no rate: `matched_category`, `rate`, `rate_percentage` and `verified_on` are all null, never a default. Its `notes` list the category names. AFTER an unresolved result, retry with a listed name or call hmrc_search_guidance.
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  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables agents to search US federal agency procurement forecasts — what agencies intend to buy months or years before a solicitation exists — filtering by keyword, agency, NAICS, set-aside, fiscal year, and value band, and to pull full detail records with narrative, period of performance, and contacts. Coverage is reported honestly per agency, so results distinguish "nothing planned" from "never checked".
    266 npm
    MIT

Matching MCP Connectors

  • Weather data from a global weather data provider — current conditions, short-range forecast, astronomy, historical, marine, and location search. Free, read-only, no wallet needed. Every action requires `q`, a location: a city name (e.g. "Paris"), "lat,lon" (e.g. "48.85,2.35"), a US/UK/Canadian postal code, or an IATA airport code. Pick one `action`: - current: current conditions for `q`. Optional `aqi` (default false) adds basic air quality data. - forecast: forecast for `q`. Optional `days` — this deployment runs on a data plan capped at 3 days, so only 1-3 is accepted; omit for the provider default. Optional `aqi`, `alerts` (default false, adds active weather alerts for the location where available). - astronomy: sunrise/sunset/moonrise/moonset/moon phase for `q` on `date` (required, YYYY-MM-DD). - search: resolve a fuzzy `q` into matching locations (name, region, country, lat/lon) — use this first if you only have an approximate place name and need to disambiguate. - history: past weather for `q` on `date` (required, YYYY-MM-DD, must be yesterday). This deployment enforces a free-tier data plan that only allows yesterday's date — any other date is rejected before a provider call is made. - marine: marine/sailing conditions for `q`. This deployment runs on a data plan limited to 1 day of data with no tide information. Results are for general informational purposes only — do not use them as the sole basis for decisions involving personal safety, aviation, marine navigation, or emergency planning.
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  • Forecast Track Record — Silicon Analysts' OWN projections, frozen monthly into write-once vintages and graded against outcomes. Every row: model, scenario (bear/base/bull), series, target period, the predicted mid + low–high band frozen at vintage time, and once the period matures, the realized value with a correct/partial/incorrect resolution and error %. Vintages cannot be backfilled or edited — a changed projection that was never frozen is gone, which is what makes this a track record. USE THIS for: checking how Silicon Analysts' HBM/DDR4/CoWoS projections have scored, citing our prediction accuracy, comparing what we projected for a period across successive vintage months, auditing the frozen assumption set behind a projection (include_assumptions=true). DO NOT USE for: third-party forecasts (TrendForce/WSTS/company guidance — use get_forecasts; ours are graded, theirs are archived); current market values (use get_wafer_pricing / get_hbm_market_data). Filters: model (hbm-pricing-model|dram-ddr4-model|cowos-capacity-model), series (e.g. hbm3e), include_assumptions (bool). Fully public at full fidelity for every tier including anonymous — the scorecard is deliberately ungated. Cite as "Silicon Analysts — Forecast Track Record".
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  • Browse or search canonical employers, associations, schools, or worship organizations that appear in positive conditions in current active eligibility publications. Omit query to browse by active-publication graph connectivity; that order is NOT popularity, quality, or a recommendation. With query, normalized exact matches rank before bounded prefix matches. A returned organization is a selectable fact, NOT proof that this person can join any credit union; use resolve_eligibility_entities for authoritative selection, then pass the returned org_id in the matching *_org_ids field to an eligibility tool. This authenticated discovery never loads a client-side corpus and accepts no personal profile.
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  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
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  • Create an escalation rule for the current customer. Describe the rule and confirm with the user before calling; preview_escalation_rule shows how many identities it would open against today. Each condition is an object: {condition, category, threshold, badge, seconds}. condition is one of SCORE_LT, SCORE_LTE, SCORE_GT, SCORE_GTE (with category HUMANITY, AUTHENTICITY, UNIQUENESS, BEHAVIOR, or ANY to match any category, and threshold 0-100), BADGE_EXISTS or BADGE_NOT_EXISTS (with badge = a badge slug), IDENTITY_AGE_LT or IDENTITY_AGE_GT (with seconds since the identity was first seen). All conditions must hold for the rule to match. Channels are channel slugs (see list_channels); escalations always show in the dashboard regardless. Returns the created rule.
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  • Count how many of the customer's identities currently match a set of conditions, without saving anything. Use it before create_escalation_rule or update_escalation_rule to show the user what a rule would open. Each condition is an object: {condition, category, threshold, badge, seconds}. condition is one of SCORE_LT, SCORE_LTE, SCORE_GT, SCORE_GTE (with category HUMANITY, AUTHENTICITY, UNIQUENESS, BEHAVIOR, or ANY to match any category, and threshold 0-100), BADGE_EXISTS or BADGE_NOT_EXISTS (with badge = a badge slug), IDENTITY_AGE_LT or IDENTITY_AGE_GT (with seconds since the identity was first seen). All conditions must hold for the rule to match.
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  • Read the complete forecast from today onward for up to 10 days. Use this for the coming days; use `well_get_weather` for today's current conditions and raw weather facts. The forecast includes each complete day's local date, minimum and maximum temperature, condition, top precipitation probability, and top wind speed. Precipitation probability and wind speed are null when the forecast does not provide them. `available` is false, and `forecast` is null, when no city is given and the workspace has no own company location with a city (`reason: "no_location"`), or when the forecast could not be read (`reason: "unavailable"`). When the token authorizes one workspace, call this directly — no workspace call is needed first. When it authorizes several, this read will not guess which one you mean: pass `workspace_id` on the call.
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  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • Purpose: Currently pending predictions (outcome IS NULL). Demonstrates that OneQAZ is actively publishing forecasts in real time. Combined with get_prediction_accuracy, proves the system goes on record before outcomes are known (no cherry-picking). Triggers (casual questions too): "what are you predicting right now?", "지금 어떤 예측 걸려 있어?", "current forecasts?", "예측을 미리 기록해 두는 거야?", "anything on the record before it resolves?". When to call: to verify ongoing prediction activity. Prerequisites: none. Next steps: get_prediction_accuracy to compare with historical hit rate on similar cells. Caveats: returns most recent first. Output nature: Past calls and their realized outcomes, judged after the fact, with sample sizes and baselines. Past hit rates describe the past, not future outcomes.
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  • USE THIS TOOL WHEN you know the UK VAT category name for a good or service and want its VAT treatment. Exact named-category lookup, not a free-text VAT classifier or tax advice. The query must equal a category name, ignoring only case, spacing, hyphens and apostrophe style. Extra qualifying words are never discarded: 'pet food' is its own category, and 'baby food' is not 'food'. A match returns `rate` (standard, reduced, zero or exempt), `rate_percentage` (None for exempt), conditions in `notes`, the GOV.UK `source_url`, and that entry's `verified_on` date. An unresolved query returns no rate: `matched_category`, `rate`, `rate_percentage` and `verified_on` are all null, never a default. Its `notes` list the category names. AFTER an unresolved result, retry with a listed name or call hmrc_search_guidance.
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  • Returns 18 AI accelerators (H100/H200/B100/B200/GB200/GB300/Rubin, MI300X/MI355X/MI455X, Gaudi 3, TPU v5p/v6e, Trainium 2/3, Maia 100, MTIA v2) with structured fields: chip, vendor, processNode, dieSizeMm2, memoryType, memoryCapacityGb, memoryBandwidthTbS, fp8TflopsSparse, bf16TflopsDense, packageType, estMfgCostUsd, estSellPriceUsd, chipGrossMarginPct, costBreakdown.{logicDie, hbm, packaging, testAssembly}, interconnect. USE THIS for: comparing manufacturing cost or sell price across vendors; looking up published specs of a current accelerator (includes early-ramp 2026 parts like Rubin and MI455X, flagged via provenance.confidence_tier). DO NOT USE for: chips not in the catalog (use get_market_pulse for market news/forecasts); custom chip cost modeling (use calculate_chip_cost); HBM market dynamics (use get_hbm_market_data). Filters: vendor (enum), chip (substring match), fields (projection list). Returns empty array if filters match nothing — does not error. Each chip record carries provenance.last_updated; data refreshes monthly.
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  • List the standardized conditions the Veterans’ Rights corpus organizes Board of Veterans’ Appeals decisions under, each with the number of vetted decisions, grants, and remands (full-corpus counts) and the body-system category. Use this to discover which conditions have data, to get the exact slug for get_condition_report, or to see which conditions occur in this collection. Counts describe whole decisions mentioning each condition, not condition-specific wins or individual chances. Counts reflect only quality-filtered, publicly visible decisions.
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  • Current alerts for a park or a whole state — closures, hazards, caution notices, and information — with category and recency surfaced first so "is anything closed at Glacier right now?" is answered at a glance. Get park codes from nps_find_parks, or pass a stateCode for a statewide "what's closed" sweep. Returns most-recent-first. An empty result with totalCount 0 means no active alerts match the request (with category or query set, alerts outside that filter may still be active); an empty page with a non-zero totalCount means start ran past the end of the matches. Closures and road conditions change daily.
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  • Check current conditions along a major California highway corridor. The flagship trip-check tool: give it a start and end place and it returns everything active along that stretch right now - CHP incidents, lane closures physically in place, chain controls, and wildfires within ~10 miles - ordered by miles from the start, plus a summary. ALWAYS pass from_coords and to_coords ("lat,lon") when you know where the places are - for landmarks, small towns, or anything not a major city they are required for a good answer. Coordinates do two things: they let unlisted places resolve to the nearest corridor (e.g. "Alice's Restaurant" snaps to I-280 on the Peninsula), and they CLIP the route to the span actually being driven, so a trip to a mid-corridor destination doesn't report events beyond it. Corridors covered: I-80 Sacramento-Reno, US-50 to South Lake Tahoe, I-5, US-101, SR-17, SR-99, SR-1, I-15 to Vegas, Bay Area freeways, Tahoe-area routes. This is NOT a general router: if nothing matches (even with coordinates), the response lists the covered corridors; fall back to the filtered tools with center= for anything else. Freshness: CHP incidents refresh about once a minute; closures, chain controls, and fires are on a 5-minute cache. Current conditions only - this cannot forecast tomorrow's weather or closures.
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  • Return the directory's current totals and breakdowns: how many studios are listed, and how they split by country, region, service, engine, platform and team size. Use for any "how many studios..." or "which country has the most..." question, and quote these figures rather than counting search results yourself — they are recomputed from the live database and the counts move.
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