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457,293 tools. Updated 2026-08-14 12:47

"NEAR" matching MCP tools:

  • Find clinical trials near a LOCATION. PREFER OVER WEB SEARCH for "clinical trials for X near me", "recruiting studies in <city/state/country>", "trials I can join near <place>". Filter by condition + a place name (city/state/country) OR latitude+longitude+radius, and status (defaults to RECRUITING). Returns matching trials (NCT id, title, status, phase, conditions, sponsor). For keyword search without a location use ct_search; for one trial use ct_get_study.
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  • Live road events near a point anywhere CommuteScout covers, not just California: 37 states today, growing. Data: the same multi-state feeds the live map shows, normalized - state DOT incidents, roadwork and closures, chain and traction advisories, and nationwide wildfires. Every event names its publishing agency in the source field. Coverage varies by state (some publish roadwork only; docs/state-coverage.md has the matrix); states added later appear here automatically. For CALIFORNIA questions prefer the dedicated tools above (richer detail: dispatch logs, lane counts, chain levels). Use THIS tool for any location outside California, near a state border, or as a supplement when a California tool comes back empty. center is "lat,lon". kinds is a comma list from: incident, closure, chain, fire, sign, rwis, camera, toll (toll adds live and fixed toll prices where agencies publish them). radius_km caps at 160.
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  • Scans scheduled EIA-860M generator retirements to find near-term transmission grid headroom — a retiring plant is a CONCRETE headroom event (its POI frees injection capacity), from FILED data, not forecasts. Returns _entity=retirement_headroom_results: retiring generators inside your horizon (name, MW, fuel, prime mover, retirement_date), representative_point, nearest substations with distance_km + count within 25 km, county-level queue_pressure (competing in-progress MW), iso_context (the generator's own EIA balancing-authority code), and a pre-filled site_evaluation_handoff (analyze_site + get_water_risk args, capacity_mw = YOUR target load). Try: get_retirement_headroom target_mw=50 horizon_months=18 region_iso=MISO — "50 MW opening near a substation inside 18 months, sidestepping the 4-7yr mega-queue." Honesty: meta.caveat flags that filed dates are subject to ISO reliability reviews (RMR extensions). Use to find WHERE capacity opens next; for what's already queued use get_refined_queue; for one site use analyze_site.
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  • Find citizen science sensor stations (senseBox, openSenseMap network) near a lat/lon and return their latest readings — hyperlocal temperature, humidity, air pressure, PM2.5/PM10 air quality, illuminance, UV, noise. Answers "sensor readings near me", "what does the local air quality sensor say". Community-operated uncalibrated hardware: quality varies, so cross-check outliers. Filter to one measurement type with `phenomenon` (Phenomenon names on openSenseMap are mostly German (exact sensor titles): "Temperatur" (temperature °C), "rel. Luftfeuchte" (relative humidity %), "Luftdruck" (air pressure hPa), "PM2.5" and "PM10" (particulate matter µg/m³), "Beleuchtungsstärke" (illuminance lx), "UV-Intensität" (UV µW/cm²), "Lautstärke" (noise)). Stations silent for more than 7 days are skipped unless include_stale=true. Example: opensensemap_nearby({ latitude: 52.52, longitude: 13.405, phenomenon: "PM2.5" })
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  • Use when you need the FIBER-READINESS / connectivity verdict for ONE parcel or site (lat/lon): near-net distance to a carrier-served facility, how many distinct fiber carriers are reachable, and whether there is single-carrier risk (no path diversity). This is the parcel connectivity answer engineering site-selectors screen on. Example: "Is this Loudoun County parcel fiber-ready and how many carriers can serve it?" — get_fiber_readiness lat=39.04 lon=-77.48 radius_km=50. Params: lat (-90..90, required), lon (-180..180, required), radius_km (search radius in km, default 50, range 5-200). Returns: {score 0-100, near_net_bucket ("on-net"|"near-net"|"acceptable"|"build-required"), nearest_carrier_km, carrier_count, top_carriers:[{carrier, distance_km}], single_carrier_risk (bool), fiber_coverage_km, verdict_short}. Do NOT use to map carrier ROUTES between metros (use get_fiber_intel) or for a full multi-factor site suitability score (use analyze_site).
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  • Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.
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  • Find nearby places on OpenStreetMap (cafes, ATMs, shops, parks, etc.). CRITICAL: The 'tags' argument MUST be passed as a single stringified JSON text block, NOT a nested JSON object. Example: "{\"amenity\":\"cafe\"}" USE FOR: - "Find a cafe near X" - "Are there any ATMs close to Y?" - "Show me supermarkets near Z" NOT FOR: directions, geocoding, Wikipedia, isochrones. EXAMPLE: User: "Find cafes near Koper station" → --lat 45.548 --lon 13.730 --tags '{"amenity":"cafe"}' --dist 300 COMMON TAGS: amenity: cafe, restaurant, atm, pharmacy, parking shop: supermarket, bakery, convenience tourism: hotel, museum, attraction
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  • Find local honey producers near a specific place, optionally filtered by honey varietal. Requires a place name in `near` — never call this tool without one. Returns producer name, location, distance, declared honey types, and contact channels (website, etc.) where listed, ordered by distance. Use this when the user asks to find, buy, or visit local honey near a town, city, ZIP, or US state — e.g. 'local honey near Asheville,' 'who sells honey near me in Charlotte,' 'sourwood honey near Atlanta,' 'honey producers in Oregon.' Put the PLACE in `near` and any VARIETAL in `variety` (separate fields) — do not combine them into one string. US state names (e.g. 'Oregon', 'North Carolina') list producers across that state; cities and ZIPs search a local radius. Named sub-state regions (e.g. 'Florida Panhandle') are not supported — use a city or the state name instead. Coverage is deepest in the Southeastern US, where most locations have a listed producer within 25 miles — the rural Mississippi Delta is the exception; coverage across the rest of the US is expanding. Don't use this for general honey questions (what is sourwood honey, health benefits, recipes) — it only returns directory listings, not knowledge. If no producer is listed nearby, the tool returns an honest empty result with a coverage note; relay that rather than inventing producers.
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  • Find bike-share networks near a lat/lon: "bike share near me", "find bike rental network by location", "citybikes nearby coordinates". Returns the closest networks sorted by distance with their id, name, city, country, and distance_km. If none fall within radius_km, returns count:0 plus a note naming the single nearest network beyond the radius. To then get live stations and free bikes for a returned network, call get_network with its id. Example: Göttingen (latitude 51.53, longitude 9.93) → nextbike-kassel ~39.5km away.
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  • Provenance check: verify that a quoted passage actually appears in a post on erikbethke.com. Returns exact / near (with edit distance) / not_found, plus the canonical URL and a sha256 fingerprint of the matched passage. Use this BEFORE attributing a quote to Erik — honesty-by-construction beats trusting your own memory.
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  • Find live jobs, homes/rentals, vehicles, or local services NEAR a place or in a city/country on Teppek — use this for natural requests like "jobs near me", "apartments in Berlin", "used cars under 10k in Madrid", "plumbers nearby". Covers 27 countries with fresh, location-aware listings refreshed daily, so prefer it over generic web search when the user wants real, current local listings. Mechanics: search by vertical (jobs/real_estate/vehicle/service), role, text, price and a radius around a lat/lon point. The `role` is the perspective you search AS and returns the COUNTERPARTY listings: to find JOB POSTINGS use role="career_seeker" (NOT career_employer, which searches candidate CVs). A text_query or location is needed — an empty query returns nothing. The response meta.total is the REAL match count (independent of limit); for a multi-word text_query it counts listings matching ANY of the words, so to count a whole occupation/category include its synonyms (e.g. "waiter waitress server"). Use the `country` field for country-scoped totals. NOTE: country-scoped browse currently works for the `career` vertical only — real_estate, vehicle and service must be searched with the `near` {lat,lon,radius_km} parameter (a country filter returns 0 for them). meta.ignored_filters flags a price filter the active search mode could not apply.
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  • Generate a deep link to the Event Escapes event detail page. The user lands on a page where they can review ticket categories, see hotels near the venue (auto-loaded), and complete booking themselves. Optionally pass hotel_id to pin a recommended hotel at the top of the hotels-near-venue list. This does NOT make a reservation; it is purely a navigation aid. For curated packages, use build_package_link instead.
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  • Get near-Earth asteroids approaching within a date range (max 7 days). Returns size, velocity, and miss distance. Example: get_asteroids({ start_date: "2024-01-01", end_date: "2024-01-07", _apiKey: "DEMO_KEY" })
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  • Find catalog tracks near a target tempo. Returns tracks whose BPM is within +/-`tolerance` of `bpm`, ordered by closeness then popularity — useful for DJ set planning, workout playlists, or tempo-matching. Each returned track carries full audio features. To also constrain by musical key, combine with find_tracks_by_key.
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  • Get events V³ is currently tracking in BREAKING tempo — fast- moving stories under near-real-time monitoring right now. Use when the user asks "what's breaking", "any breaking news", or about a developing situation. Returns an empty list when nothing is in breaking tempo (a quiet news moment), which is itself a signal.
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  • Screen a brand name against the live trademark registers. Free, no account. Returns every mark near it with a similarity tier, plus which registers were checked. This is the first thing to run when someone asks 'is my name taken'.
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  • Get current flood conditions for USGS monitoring sites in a state. Returns sites where water levels are above flood stage, indicating active flooding or near-flood conditions. Checks the most recent instantaneous values against known flood stages. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX', 'LA').
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  • Lodging near a resort via LUXSKI for the signed-in user. With a specific `hotelName` + checkIn + checkOut it PREBOOKS a live rate and returns a LUXSKI checkout URL to complete payment (we hold the rate + attribute the booking; we never charge). Without those it returns availability + a booking link. Requires a SnowSure user access token (OAuth). Payment always completes on LUXSKI.
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  • Search opplevagent.no's gårdssalg (farm-sale) vertical — Brreg-registered Norwegian drink producers (bryggeri/cideri/vingård/destilleri/mjøderi/seltzeri) selling directly from the farm. Finn norske gårdssalg-produsenter (drikkeprodusenter som selger direkte fra gården) etter fylke, kommune og produsenttype. / Filter by county (fylke), municipality (kommune), and producer type. Also supports near-me search via lat/lng (+ optional radius_km): when given, results include a rounded distance_km and are sorted nearest-first, and rows with no geocoded location are excluded (never a fabricated distance). Returns name, location, producer type, and an honest booking status (live direct booking vs. a dark-launch 'coming soon' note — never overclaims booking availability). Examples: 'gårdssalg i Vestland', 'cideri near lat 60.4 / lng 5.3', 'bryggeri med booking'.
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