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Alternatives to georef-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search worldwide cities, landmarks, and regions; retrieve administrative divisions, coordinates, population, nearby places, timezone and sunrise/sunset data; and look up postal codes by place or code.
      11 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables address autocomplete, forward and reverse geocoding, IP geolocation, and place/geofence context lookups using Radar's API, letting AI agents resolve locations through natural language.
      9 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI assistants with live, authenticated access to official Mexican data sources including CURP, RFC, postal codes, phone numbers, SPEI payments, CFDI status, DOF semantic search, and geocoding via INEGI/INE.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables LLM clients to convert addresses to coordinates (forward geocoding), coordinates to addresses (reverse geocoding), and lookup Google Place IDs using the Google Maps Geocoding API with support for multiple languages and advanced filtering.
      3
      5 npm
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Enables AI agents to become geospatially intelligent assistants with tools for location search, smart routing, round trip planning, reverse geocoding, isochrone analysis, route visualization, geofence management, and interactive map display.
      8
      13 npm
      7
      Apache 2.0

    TDQS

    A4.1/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct geographic operation or administrative level: province, department, municipality, locality, address normalization, and reverse geocoding. Although departments, municipalities, and localities are hierarchically related, their descriptions clearly distinguish them and prevent likely misselection.

    Naming Consistency5/5

    All tool names consistently use snake_case with a clear verb_noun or operation pattern: search_provinces, search_departments, search_municipalities, search_localities, normalize_address, reverse_geocode. The naming is predictable and readable.

    Tool Count5/5

    Six tools is well-scoped for a focused Argentine georeferencing server. Each tool covers a distinct lookup or geocoding operation without unnecessary redundancy.

    Completeness4/5

    The surface covers the core workflows: searching administrative units, normalizing addresses, and reverse geocoding coordinates. Minor gaps exist, such as no dedicated street-name search or batch geocoding, but agents can work around these through normalize_address.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues