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  • A
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    A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.
    5
    133 npm
    18
    Apache 2.0
  • -
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    A
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    Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.
    4
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    Provides live bus and light rail data for the Charlotte Area Transit System, including vehicle positions, arrivals, and route information via GTFS-Realtime feeds.
    3
    MIT
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    quality
    D
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    A Model Context Protocol (MCP) based geographic processing server that provides spatial analysis functions including coordinate system conversions, distance calculations, and area calculations.
    3
    22 npm
    3
    MIT
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    Enables Large Language Models to interact with the ILP Drone Delivery System to plan deliveries, check drone availability, and generate route visualizations. It allows users to manage logistics tasks like capacity planning and temperature requirement matching through natural language.
    6
    MIT
  • F
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    Provides altitude-azimuth coordinates for celestial objects including planets, over 117,000 stars, and 14,000 deep sky objects based on system time and configurable location.
    3
    1
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    quality
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    Enables an AI agent to list the incident categories of Gijón's municipal reporting system and file real service notices on a citizen's behalf, including generating one from a photo by reading its EXIF GPS and suggesting the matching category. Report creation is dry-run by default and only sends after explicit human confirmation, using a saved email as the contact identity and no credentials.
    7
    9 npm
    AGPL 3.0
  • A
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    MCP server for converting PLSS legal descriptions to GPS coordinates and vice versa, enabling AI agents to work with U.S. Public Land Survey System data.
    MIT
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    Enables turning an address or lat/lng into a transparent solar proposal by geocoding it, pulling Google Solar API building insights (panel layouts, roof segments, imagery quality), and pricing a few system sizes with your tariff, install cost, incentives, savings, payback, NPV and a verdict. Every input is labelled with its source, Google's own financial analyses are shown side by side, and no prices are invented.
    Apache 2.0
  • A
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    quality
    C
    maintenance
    Exposes mobile system capabilities as MCP tools so AI agents can access clipboard, location, calendar, contacts, files, storage, networking, and device connectivity through standard transports. It applies permission policies and native adapters for integration into mobile apps without bundling an AI agent or host bridge.
    1 npm
    MIT
  • A
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    F
    maintenance
    A geospatial MCP server that provides tools for geocoding, routing, elevation profiles, and spatial analysis. It enables AI agents to process GIS file formats like GeoJSON and Shapefiles while performing complex coordinate transformations and distance calculations.
    4
    MIT
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    C
    maintenance
    An MCP server providing geospatial analysis tools for raster and vector data, integrated with a reflection system that requires AI agents to justify their methodological decisions. It enables accurate mapping and spatial operations by ensuring reasoned choices for coordinate systems, resampling, and data transformations.
    83
    MIT
  • A
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    maintenance
    Enables users to interact with Washington DC Metro (WMATA) transit system through natural language queries. Provides real-time train arrivals, service alerts, station information, trip planning, and accessibility updates.
    739 npm
    MIT