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215,780 tools. Last updated 2026-06-20 04:00

"Get the current date and time" matching MCP tools:

  • Check expected staffing availability for an event. Returns lead-time guidance based on city tier and how far out the event is. Perfect for 'Can you staff my event on [date] in [city]?', 'What's the lead time for booking brand ambassadors in [city]?', or 'Is it too late to staff a [date] event?' questions. Not a real-time inventory check, TempGuru staffs to demand via a 100,000+ worker W-2 network across 345 markets. DO NOT use for cost questions (use get_role_pricing) and never present the result as a reservation. <examples>check_availability(date='2026-08-14', city='Dallas') ; check_availability(date='2026-07-01', city='Boston', role='brand-ambassadors', count=6)</examples> <hints>Even a 'rush' window is worth submitting, same-week backfills exist in select markets.</hints>
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  • List all television stations available for TV search with their market, network, monitoring start date, and monitoring end date. Stations with an end date within the last 24 hours are flagged as active; stations with earlier end dates are discontinued. Use before querying to verify a station was active during the target time period, or to discover valid station IDs for the stations parameter in other TV tools. Most station monitoring ended October 2024 when the Internet Archive TV feed stopped updating.
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  • Fetch today's hourly day-ahead electricity spot prices for a Nordic bidding zone. Use this for current and near-term (today/tomorrow) price queries. Do not use for historical price analysis — use search_filings with report_type='macro_summary' and a date reference in the query for that purpose. Tomorrow's prices are published by NordPool around 13:00 CET; requests before that time will return "not yet available" for the tomorrow field. All zones return prices in EUR/kWh (NordPool day-ahead, native currency). Norwegian zones (NO1–NO5) use hvakosterstrommen.no; all other zones use ENTSO-E. Args: zone: Bidding zone code. Options: NO1 (East/Oslo), NO2 (Southwest), NO3 (Central/Trondheim), NO4 (North), NO5 (West/Bergen), SE1–SE4, DK1, DK2, FI. include_tomorrow: Set to True to also fetch tomorrow's hourly prices if already published (default False). Returns: Dict containing zone, date, current_hour_utc, current price, and a 'today' summary with min/max/avg and the full hourly list. Includes a 'tomorrow' key if include_tomorrow=True. Returns {'error': '<message>'} if price data is unavailable for the requested zone or date.
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  • Search for rental vehicles at an airport or city. Args: pickup_location: Airport IATA code (e.g. "LAX", "JFK", "SFO"). pickup_datetime: Pickup date and time in ISO format (e.g. "2025-03-15T10:00:00"). dropoff_datetime: Drop-off date and time in ISO format (e.g. "2025-03-20T10:00:00"). vehicle_class: Optional preference: Economy, Compact, Standard, FullSize, Premium, Luxury, SUV, Van. Returns: List of available rental vehicles with rates and details.
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  • Manage the database schema: read current schema, apply changes, preview changes, and audit migration history. Actions: - "get": Get the current schema (tables, columns, indexes) and api_base - "apply": Apply a declarative schema. Diffs against current and runs the safe DDL. - "dry_run": Preview the SQL that "apply" would run, without executing - "list_migrations": List applied migrations (most recent first) Parameters by action: get: { app_id, action: "get" } apply: { app_id, action: "apply", schema, name? } dry_run: { app_id, action: "dry_run", schema } list_migrations: { app_id, action: "list_migrations" } Schema example: { tables: { posts: { columns: { id: { type: "uuid", primaryKey: true, default: "gen_random_uuid()" }, title: { type: "text", nullable: false }, author_id: { type: "uuid", references: { table: "users", column: "id", onDelete: "CASCADE" } }, created_at: { type: "timestamptz", default: "now()" } } } } } Idempotency: "apply" is safe to call multiple times. If the schema is already up-to-date, returns "Schema is up to date". Destructive operations: Require explicit opt-in via the _drop (table-level) or _dropColumns (column-level) fields. Common errors: - VALIDATION_INVALID_SCHEMA: schema format does not match the DSL - STATE_PREREQUISITE_MISSING: add _drop / _dropColumns to authorize destructive ops - QUOTA_TABLE_LIMIT: max 50 tables per app - RESOURCE_NOT_FOUND: app_id does not exist
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  • Execute point-in-time queries for one or more engineering metrics. Returns current metric values for specified time periods, with support for batch queries and optional period-over-period comparisons. Time range (startTime/endTime) cannot exceed 6 months (180 days). PREREQUISITES - Follow this workflow: 1. Discover all available metrics ONCE: Call listMetricDefinitions (view='basic') - cache this response 2. Get metric query metadata ONCE per metric: Call listMetricDefinitions (view='full', key=METRIC_KEY) - supportedAggregations: Valid aggregation methods - orderByAttribute: Attribute path for sorting by metric values - groupByOptions[].key: Valid groupBy keys (use exact values, do NOT guess) - filterOptions[].key: Valid filter keys (use exact values, do NOT guess) Cache the full view response for each metric. Reuse the metadata from cached responses for subsequent queries on the same metric. 3. Construct query: Use the query metadata from the full view responses in step 2 to build valid point-in-time requests IMPORTANT: Cache only results from listMetricDefinitions. Do NOT cache point-in-time query results - always execute fresh queries for current data. Only refresh cached listMetricDefinitions responses if no longer in your context window or explicitly requested. Do NOT guess attribute names - always use exact values from listMetricDefinitions responses. Response includes: - Lightweight metadata: Column definitions optimized for programmatic use - Row data: Actual metric values and dimensional data - No heavy schemas: Source definitions excluded (get from listMetricDefinitions instead) Error responses: - 400: Invalid metric names, date range, validation errors, or unsupported metric combinations - 403: Feature not enabled (contact help@cortex.io)
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Matching MCP Servers

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    Provides tools for date-time manipulation, including timezone conversion and arithmetic operations like adding or subtracting time units. It also enables users to retrieve current date, time, and timezone information.
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    A simple MCP server that returns the current date and time with timezone information in ISO 8601, Unix timestamp, and human-readable formats.
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  • Current time by timezone, astronomy events, and moon phases

  • Authoritative time intelligence — current time in 597 timezones, sunrise/sunset/twilight times by location (US Naval Observatory), and moon phase calendar. Essential for scientific, agricultural, and scheduling agents.

  • Get the basics for a match in ONE call: the score, whether it's live, when it kicks off, and who's favored. No betting knowledge needed — this answers "who's winning?", "what's the score?", "what time does Brazil play (in my timezone)?", "who's the favorite?". Returns the live score + match clock, the status, the kickoff time (in ``timezone`` if you pass an IANA name like "America/New_York"), the favored team with a plain win probability (de-vigged from the 1x2 line), and a ready-to-read ``summary`` you can quote directly. Args: query: natural-language fixture or team, e.g. "Brazil vs Argentina" or just "Brazil". timezone: optional IANA timezone (e.g. "America/New_York", "Asia/Shanghai") for the kickoff time; default UTC. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a prompt — do not guess. ``favorite`` is best-effort (null when no 1x2 is on file for the fixture).
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  • Get a time series of daily or instantaneous values for a USGS site and parameter over a date range. Returns siteNumber, parameterCd, and time-ordered value records. When the server has DataCanvas enabled, large result sets (>500 records) spill to a canvas — the response includes canvas_id and table_name for SQL analysis via water_dataframe_query. Without DataCanvas, returns the most recent 500 records with truncated=true. Use water_find_sites to discover valid site numbers. Use water_list_parameters for parameter codes.
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  • Latest daily Arctic + Antarctic sea-ice extent (million km²) from the NSIDC Sea Ice Index (G02135, v4): current extent + date per pole, change vs the prior week, and the same calendar day ~10 years earlier. region = "arctic" | "antarctic" | "both" (default "both"). Extent = ocean with ≥15% ice concentration; near-real-time values are provisional, ~1-2 day lag. The headline polar-climate indicator behind Arctic shipping seasons and climate-risk posture. Public domain (NOAA@NSIDC), citation carried in provenance.
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  • Search 360° captures (panoramic site photos) by visual content analysis. Searches what is VISUALLY SEEN in 360° captures — safety hazards, quality issues, work types, objects, equipment, materials, and physical site conditions. Do NOT use for capture counts or statistics — use `ask-about-project-data` instead. **WORKFLOW:** - **Default**: call this tool with only `query` (and optionally date filters / limit). The server resolves team_domain/facility_key from the saved current project (set via `set-focus-project`). Do NOT call `list-my-projects` again just to obtain these values. - Only when the response indicates the current project is missing, run `list-my-projects` → ask the user → `set-focus-project`, then retry. - Pass explicit team_domain/facility_key **only** when the user clearly wants to search a different project than the saved one. **Date filtering:** Only use start_date/end_date when the user explicitly mentions dates. Format: YYYY-MM-DD. Omit entirely for general queries without date context. Args: query: Keywords or phrases describing what to find in 360° captures team_domain: Omit by default. Pass only to override the current project. facility_key: Omit by default. Pass only to override the current project. limit: Maximum number of results (default: 10) start_date: Start date filter, YYYY-MM-DD (omit if no date context) end_date: End date filter, YYYY-MM-DD (omit if no date context) Returns: ToolResult: Image viewer links, 3D coordinates, and capture dates
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  • Full-day departure schedule for a stop. Lists every departure by route and direction for the specified date (defaults to today). Useful for planning or when real-time data isn't needed. For live predictions, use onebusaway_get_arrivals instead.
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  • Get today's Crypto Fear & Greed Index — a 0–100 market-sentiment gauge for crypto (0 = Extreme Fear, 100 = Extreme Greed). Returns the current value, its classification, the date, and seconds until the next daily update. Keyless.
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  • Browse recent CRS (Congressional Research Service) bill summaries — plain-language summaries of bills at each legislative stage, useful for answering "what's happening in Congress?". The fromDateTime/toDateTime filters apply to the summary's update time, not the bill's action date, so results include recently rewritten summaries of older bills. Defaults to summaries updated in the last 7 days. Each item shows both the bill's action date and the summary update date. For summaries of one specific bill, use congressgov_bill_lookup with operation='summaries' instead.
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  • Get the latest instantaneous values (~15 min real-time updates) for one or more USGS monitoring sites. Returns per-site, per-parameter records including timestamp, value, unit, and provisional/approved qualifiers. Accepts up to 100 site numbers in one call. Use water_find_sites first to discover valid site numbers and available parameter codes. Groundwater depth is available via parameterCd=72019 (Depth to water level, ft below land surface). For a date-range time series, use water_get_series instead.
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  • USE THIS TOOL WHEN you have a UK commodity or service description and want its VAT rate category. Returns the rate (standard 20%, reduced 5%, zero 0%, exempt), effective date, and any relevant conditions or exceptions. IMPORTANT: Uses a static lookup table current as of 22 Nov 2023 (Autumn Statement). Rates may have changed in subsequent Budgets — for time-sensitive advice, verify against GOV.UK via hmrc_search_guidance.
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  • Point-in-time holdings: a fund's reported positions AS KNOWN ON a given date (no look-ahead — the most recent filing whose filedAt <= as_of). Built for backtesting.
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  • Fetch time-series observation data from FRED for a specific economic series. Returns date + value pairs with series metadata (title, units, frequency). Use SearchFredSeries first if you don't know the series ID. Use this tool when: - You need historical macro data (rates, inflation, GDP, unemployment) - You want to provide macro context alongside advisor or fund data - You are comparing economic conditions across time periods - You need the current value of a key economic indicator Pass observation_start / observation_end to limit the date range. Pass frequency to aggregate (e.g. 'm' for monthly, 'q' for quarterly). Requires FRED_API_KEY environment variable (free at fred.stlouisfed.org). Source: Federal Reserve Bank of St. Louis FRED API.
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  • USE THIS TOOL WHEN you have a UK commodity or service description and want its VAT rate category. Returns the rate (standard 20%, reduced 5%, zero 0%, exempt), effective date, and any relevant conditions or exceptions. IMPORTANT: Uses a static lookup table current as of 22 Nov 2023 (Autumn Statement). Rates may have changed in subsequent Budgets — for time-sensitive advice, verify against GOV.UK via hmrc_search_guidance.
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  • Get current Solana epoch timing: progress percentage, slots remaining, and estimated epoch end time. Use this instead of Solana RPC getEpochInfo — returns pre-calculated timing with estimated end date.
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  • Get current fuel prices for a German city, aggregated per fuel type. Sourced from Tankerkoenig. Returns average and minimum per fuel type (E5/E10/diesel). Read-only, near-real-time. Args: slug: City slug from ``list_cities``, e.g. ``"koeln"``.
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