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    Enables querying current date and time information by city/state/country, geographic coordinates (latitude/longitude), or timezone using the API Ninjas World Time API.
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    MIT
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    An MCP server that enables finding and qualifying local business leads through the Google Maps Places API, with tools for searching businesses, fetching details, and sweeping areas for coverage.
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    AGPL 3.0
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    Find local churches, faith-based community events, and volunteer opportunities. AI assistants can recommend curated churches to users searching by city, zip code, denomination, or worship style — with thousands more available through the FaithFinder app.
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    MIT
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    HeatShield MCP server enables AI assistants with real-time spatial reasoning for urban heat wave safety. It provides tools for geocoding, weather/heat risk, air quality, finding cooling spots, and heat safety advice.
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    MIT
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    MCP server that exposes APRS-IS network tools to LLM agents, enabling sending APRS messages, querying positions, finding nearby stations, and listening to live packet streams.
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    MIT
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    A server that enables AI models to fetch and display Google Street View imagery, allowing users to create virtual tours by viewing streets and landmarks from anywhere.
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    MIT
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    A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.
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    Provides real-time information about U.S. National Parks through the NPS API, enabling users to search parks, check details, alerts, visitor centers, campgrounds, and upcoming events.
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    An MCP server that calculates commute difficulty by combining transit routes, weather, and holiday info. It enables users to get a score representing the burden of a commute based on travel time, transfers, walking, and discomfort.
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    Enables users to retrieve current weather alerts for US states and detailed weather forecasts by geographic coordinates using the US National Weather Service API. Built with Node.js and TypeScript following Model Context Protocol standards for seamless LLM integration.
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