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"Lottery games and results" matching MCP servers:

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    Enables AI assistants to query live arrivals, vehicle positions, routes, stops, and timetables across the Athens public transport network, with stop lookups by name or coordinate in Greek or Latin script. Results cover OASA buses, trolleys, metro, and tram, falling back to cached reference data when the upstream API is unreachable.
    10
    1
    MIT
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    Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.
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    340 npm
    MIT
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    Enables AI assistants to search places and addresses, compute driving, walking, and kickboard routes, optimize waypoints, and calculate distance and time matrices. Results can be displayed as interactive maps within conversations.
    12
    516 npm
    MIT
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    The geospatial toolkit for AI agents. 6 tools, zero config — give any LLM the ability to parse, convert, query, and aggregate spatial data out of the box. Or just make a bounding box :) Every response includes a verification link to vibhorsingh.com/boundingbox so you can visually confirm results on an interactive map.
    6
    36 npm
    3
    MIT
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    Enables AI agents to inspect and repair GIS parcel datasets and to query a redacted DuckDB results store, including table listing, guarded SQL queries, governed metrics, issue lookups, case explanations and run comparisons. Repairs are always written to a new copy and every tool call is logged.
    11
    MIT
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    Enables querying and searching for real estate listings, complexes, prices, and school information from Naver Land (Korean real estate platform) through a set of MCP tools. Supports region hierarchy navigation, coordinate-based search, and various trade types like sale, jeonse, and monthly rent.
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    Enables AI assistants to search official NFZ waiting lists in Poland for specialists, diagnostic tests, and procedures near a given location, ranked by forecast waiting time or distance. Results include waiting counts, addresses, phone numbers, accessibility details, and pediatric availability, with no API key required.
    3
    340 npm
    15
    MIT
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    Enables AI assistants to search Poland's official register of schools and kindergartens by town, gmina, or proximity to an address, and to retrieve per-school eighth-grade exam and matura results by subject over the last three years, benchmarked against county and national averages.
    3
    393 npm
    MIT
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    Enables AI agents to search live directory data for local US card shops and upcoming card shows by coordinates or city/state, returning distance-sorted results with addresses, games, services, ratings, and dates. It also reports which US states are covered and how many shops each contains.
    MIT
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    Enables AI assistants to answer plain-language queries about official real estate data in Germany and Austria, covering cadastral parcels, zoning plans, land values, buildings, terrain, 3D models, aerial images, and property listings. Parcel and listing results link to map views with outlines, plans, buildings, and aerial imagery.
    MIT
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    Enables agents to search and retrieve live local happenings in New York City — music, theater, comedy, film, art, sports, festivals, markets, food and drink, classes, tours and nightlife — each with dates, times, prices, booking links and images. Two tools, search_directions and get_details, let assistants answer time-sensitive questions about what is happening nearby and return bookable results.
    2
    MIT
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    Enables AI agents to search public Luma events near a geographic coordinate within a time window and fetch full public details for a single event. Results are returned as provider-neutral open event records with attendee data stripped, and read-only access keeps registration on the official event page.
    MIT
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    Enables an AI agent to scout local businesses, instantly re-rank cached leads under new scoring weights, explain each score variable by variable, run one-off website audits, and generate ready-to-send outreach pitches or WhatsApp openers from natural language. It exposes the same discovery/scoring engine as the CLI, so results can be listed, scored and opened in a dashboard without leaving the chat.
    1
    MIT