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    Enables conversational spatial SQL queries in plain English, turning natural language questions into validated PostGIS operations and rendering results as GeoJSON on an interactive map.
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    Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.
    5
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    A Model Context Protocol server that provides geocoding services by integrating with the Nominatim API, allowing AI assistants to perform location-based lookups.
    2
    193 npm
    3
    MIT
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    Country-agnostic MCP-callable directory for AI agents to find local SMBs — realtors, insurance agents, medical practitioners — by category, location, or natural-language query. Returns business catalog data and UTM-tagged booking URLs (zero PII).
    5
    MIT
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    Provides tools for AI assistants to access Amanahfy APIs, enabling campaign details and IP geolocation lookups.
    2
    ISC
  • A
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    quality
    C
    maintenance
    Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP
    6
    1
    MIT
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    Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.
    7
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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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    A Model Context Protocol server for retrieving land cover, soil type, and temporal land use data for any geographical coordinates using the National Land Cover Database and FAO soil classifications.
    MIT
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    C
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    Enables AI assistants to authenticate against a cloud geospatial analysis platform, search and inspect its datasets, render them as maps, and compute statistics over specified regions. It exposes these capabilities as MCP tools that can be dropped into any Next.js project via a route-based adapter.
    MIT
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    AI-powered running course generator that creates custom routes on Seoul's pedestrian network based on natural language requests (distance, elevation, shape), integrating slope, lighting, and facility data.
    MIT