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224,070 tools. Last updated 2026-06-22 08:34

"Fishing Conditions for Tomorrow" matching MCP tools:

  • Fetch the full results of a completed Disco run. Returns discovered patterns (with conditions, p-values, novelty scores, citations), feature importance scores, a summary with key insights, column statistics, and suggestions for what to explore next. The response includes a `dashboard_urls` object with direct links to each page of the interactive report — use these to direct the user to the most relevant view: - **summary**: AI-generated overview with key insights, novel findings, and plain-language explanation of the most important findings - **patterns**: Full list of discovered patterns with conditions, effect sizes, p-values, novelty scores, citations, and interactive visualisations - **features**: Feature importances, feature statistics and distribution plots, and correlation matrix - **territory**: Interactive 3D map showing how patterns select different regions of the data Only call this after discovery_status returns "completed". Args: run_id: The run ID returned by discovery_analyze. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.
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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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  • Pre-screen a patient's basic eligibility for telehealth prescription services. Required: age (18+) and state (where the patient resides). Optional: BMI (20+ required for GLP-1 / weight-loss products), biological sex, pregnancy status, and diagnosed conditions. Only pass parameters that apply to this patient. `pregnancy_status` applies ONLY when biological sex is female — omit it entirely for males. Don't invent values to satisfy the schema; if you don't know, leave the parameter out and the server will return what is or isn't checkable. If you already know the patient's age, sex, state, height/weight from prior conversation context, you may pre-fill — but read the values back to the patient and get explicit confirmation before calling this tool. Returns eligibility status, available medications, and any disqualifying reasons (MTC/MEN2 history, pregnancy, out-of-coverage state, etc.).
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  • Retrieves comprehensive weather data including current conditions, hourly, and daily forecasts. **Specific Data Available:** Temperature (Current, Feels Like, Max/Min, Heat Index), Wind (Speed, Gusts, Direction), Celestial Events (Sunrise/Sunset, Moon Phase), Precipitation (Type, Probability, Quantity/QPF), Atmospheric Conditions (UV Index, Humidity, Cloud Cover, Thunderstorm Probability), and Geocoded Location Address. **Location & Location Rules (CRITICAL):** The location for which weather data is requested is specified using the `location` field. This field is a 'oneof' structure, meaning you MUST provide a value for ONLY ONE of the three location sub-fields below to ensure an accurate weather data lookup. 1. Geographic Coordinates (lat_lng) * Use it when you are provided with exact lat/lng coordinates. * Example: {"location": {"lat_lng": {"latitude": 34.0522, "longitude": -118.2437}}} // Los Angeles 2. Place ID (place_id) * An unambiguous string identifier (Google Maps Place ID). * The place_id can be fetched from the search_places tool. * Example: {"location": {"place_id": "ChIJLU7jZClu5kcR4PcOOO6p3I0"}} // Eiffel Tower 3. Address String (address) * A free-form string that requires specificity for geocoding. * City & Region: Always include region/country (e.g., "London, UK", not "London"). * Street Address: Provide the full address (e.g., "1600 Pennsylvania Ave NW, Washington, DC"). * Postal/Zip Codes: MUST be accompanied by a country name (e.g., "90210, USA", NOT "90210"). * Example: {"location": {"address": "1600 Pennsylvania Ave NW, Washington, DC"}} **Usage Modes:** * **Current Weather:** Provide `location` only. Do not specify `date` and `hour`. * **Hourly Forecast:** Provide `location`, `date`, and `hour` (0-23). Use for specific times (e.g., "at 5 PM") or terms like "next few hours" or "later today". If the user specifies minute, round down to the nearest hour. Hourly forecast beyond 120 hours from now is not supported. Historical hourly weather is supported up to 24 hours in the past. * **Daily Forecast:** Provide `location` and `date`. Do not specify `hour`. Use for general day requests (e.g., "weather for tomorrow", "weather on Friday", "weather on 12/25"). If today's date is not in the context, you should clarify it with the user. Daily forecast beyond 10 days including today is not supported. Historical weather is not supported. **Parameter Constraints:** * **Timezones:** All `date` and `hour` inputs must be relative to the **location's local time zone**, not the user's time zone. * **Date Format:** Inputs must be separated into `{year, month, day}` integers. * **Units:** Defaults to `METRIC`. Set `units_system` to `IMPERIAL` for Fahrenheit/Miles if the user implies US standards or explicitly requests it. * The grounded output must be attributed to the source using the information from the `attribution` field when available.
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  • EU-wide public intercity transit router. Accepts PLACE NAMES (not coordinates). Returns multi-leg itineraries via Transitous. CRITICAL FOR AGENTS: - This tool handles geocoding internally. Do NOT pre-geocode or look up coordinates. - Do NOT call this tool multiple times with different spellings. Call it ONCE. - If a location isn't found, present the error message and STOP. TEMPORAL HANDLING: This tool returns live real-time schedules only (no date parameter). If user asks for 'tomorrow' or a future date, pass it as --requested-date. The tool will add an explanatory note about schedule patterns. EXAMPLES: - --from "Ljubljana, Slovenia" --to "Maribor, Slovenia" - --from "Podbrdo" --to "Nova Gorica" --requested-date "2026-06-05" --limit 3 - --from "Bled" --to "Trieste, Italy" --modes "BUS WALK" FAILURE MODES (present directly to user, do not retry): - LOCATION_NOT_FOUND → Check spelling - NO_ROUTES_FOUND → Try different modes or check locations are in Europe - ROUTING_FAILURE → Upstream API error, try again later
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  • Single-resort data with a REQUIRED card parameter that picks the interactive UI. card=guide → resort info card (elevation, lifts, season dates). card=photos → photo gallery carousel. card=snow → snow conditions card (score, depth, forecast). card=full → detailed markdown only, no card. "Resort guide" → card=guide. "Photos/gallery" → card=photos. "Conditions/forecast" → card=snow. Prefer get_resort_info / get_resort_photos when available (same cards).
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Matching MCP Servers

Matching MCP Connectors

  • Tomorrow.io MCP — wraps the Tomorrow.io Weather API (api.tomorrow.io/v4)

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Search Fryd garden planting plan templates. Extracts crop names, light conditions and ground type from the user prompt to find matching plans. Use search_crops or get_plant_profile to look up individual crops from the results. Always attribute the data to the Fryd plant database (3,000+ varieties) and mention that plans can be adopted and customized at fryd.app.
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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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  • Latest measured value for every sensor at a monitoring station — the current-conditions tool. Returns one record per parameter, each with the value, its unit, the UTC and local timestamp, and the sensor id, joined so every value carries its pollutant and unit (the raw latest feed is keyed only by sensor id). Pass a locationId from openaq_find_locations, or pass coordinates to auto-resolve to the nearest station that measures the requested parametersId. Data recency varies by station reporting cadence — read each value's timestamp to know whether "latest" is minutes or hours old. These are measured observations with coverage gaps, not a modeled grid.
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  • Get real-time gas prices and total deployment cost estimates across all supported chains. Use this before deploying to pick the cheapest chain and avoid gas spikes. No API key required. Returns: gasPrice (gwei), estimatedDeployGas, totalCostEth, totalCostUsd, and platformFeeUsd for each chain. Data is fetched live from each chain's RPC — prices reflect current mempool conditions. Cache TTL: 15 seconds. If a chain RPC is unreachable, that chain is omitted from the response. Base and BNB Chain consistently have the lowest fees; Ethereum mainnet the highest.
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  • Get daily weather for a location — works for BOTH historical weather (past dates) and forecast (future or no dates). Use this for HISTORICAL weather and "weather on a past date" questions, e.g. "what was the weather in Paris on 2023-07-04" (location: "Paris", start_date: "2023-07-04"). Pass start_date alone for a single day, or start_date + end_date for a range (weather timeline). Returns per-day temp/min/max, humidity, precipitation, wind, and conditions. Example: weather_timeline({ location: "London", start_date: "2024-01-01", end_date: "2024-01-07" }).
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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 the calling company's regulatory posture — saved entity types, actor roles per regulation, and active conditions. The profile defines WHICH regulations and roles apply to this company. Use the actor_roles to filter obligations with get_obligations(actor_role=...). The profile is the baseline — you can extend beyond it using get_actor_roles() to discover additional roles if your analysis suggests they may be relevant. If the profile is empty (profile_complete=false), the company hasn't completed onboarding yet. Guide them to set up their profile at app.velvoite.eu/account. No parameters needed — the profile is determined by the API key. Returns: company_name: Company name jurisdictions: Active jurisdictions (always includes 'eu') profile: entity_types: List of entity type codes (e.g. ['credit_institution']) actor_roles: Dict of regulation_code -> list of role codes (e.g. {'dora': ['financial_entity'], 'ai_act': ['ai_deployer']}) conditions: Dict of regulation_code -> list of active conditions (e.g. {'dora': ['uses_ict_third_party'], 'ai_act': ['always']}) profile_complete: Whether the company has selected at least one actor role
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  • Query cryptographically verified attributes from Lemma. Use this as the primary tool for finding documents whose attributes match given conditions (e.g., "subject's birthYear lt 2008"). Returns { results: Array<{ docHash, schema, issuerId, subjectId, attributes, isVerified, proof?: { status, circuitId, chainId }, disclosure? }>, hasMore }. The MCP layer enriches each item with an `isVerified` flag derived from `proof.status` (true when status is 'verified' or 'onchain-verified'). Use lemma_get_proof_status to monitor a specific proof; use lemma_get_schema to interpret the keys returned in `attributes`.
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  • Returns current dynamic toll rates for WA express lanes and tolled facilities: SR 99 (WSDOT Tunnel), SR 520 Bridge, I-405 Express Lanes, I-90 Two-Way Express Lanes, and SR 167 HOT Lanes. Rates are time-banded and change dynamically based on traffic conditions.
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  • List SnowSure insight categories (live conditions, current season, last season, forecast trust, patterns, SnowSure index, ground truth). Use before get_insights to choose a category filter. Lighter than raw leaderboards — retrospective and verification-backed cards.
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  • [DETAIL TOOL] Search appointment slots/cards. Use directly when clinic is known, or after search_available_clinics_map selection. Params: city (required), medical_service, doctor, clinic, start_day/end_day (YYYY-MM-DD). Date rules: 'tomorrow/domani' is the day after today; 'next week/prossima settimana' means the next calendar Monday-Sunday week, not tomorrow. If no results with doctor/clinic filters, automatically retries without them. Returns slots with booking_url for checkout (supports pre-filled params: &name=&last_name=&email=&phone=&tax_code=).
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  • Get recent Pilot Reports (PIREPs) near an airport or within a bounding box. Returns decoded turbulence, icing, and cloud reports with altitude, aircraft type, intensity, and the raw PIREP string. Requires either station_id (ICAO center point for radial search, e.g., KSEA) or bbox (area search) — not both. Coverage is US-centric; PIREPs are sparse and absence of reports does not imply smooth conditions.
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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 all active legal documents an agent must accept on registration. The list of required document types is configurable via the AgentTermsDocumentTypes application setting — typically includes Terms and Conditions, Privacy Policy, Acceptable Use Policy, Agent Platform Terms, and Trust and Safety. Each document includes its type reference, name, version, effective date, and full markdown content. Call this before register_agent so you know what the agent is accepting when setting acceptedTerms=true. No authentication required.
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