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geoanalisis-mcp

geoanalisis-mcp

by alexrobl
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Python
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    TDQS

    A4.4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Cada herramienta tiene un propósito claramente distinto: listado de capas, esquema, estadísticas, lectura de features, previsualización WKT, vista rápida, mapa dinámico, imagen estática y producto cartográfico. Las herramientas de visualización (view_layer, render_map, export_map_image, export_map_cartographic) se diferencian explícitamente por nivel de detalle, interactividad y uso final, con referencias cruzadas que guían la selección.

    Naming Consistency5/5

    Todas las herramientas siguen un patrón consistente verbo_sustantivo en minúsculas y snake_case: list_layers, get_layer_schema, scan_field_stats, read_features, preview_geometries, view_layer, render_map, export_map_image, export_map_cartographic. No hay mezcla de estilos ni nombres vagos.

    Tool Count5/5

    Con 9 herramientas, el conjunto está bien dimensionado para un servidor de análisis geoespacial: cubre el flujo completo desde exploración de datos hasta exportación de mapas, sin redundancia innecesaria ni carencias evidentes. Cada herramienta tiene un rol específico y no sobra ninguna.

    Completeness5/5

    El conjunto cubre integralmente el ciclo de trabajo geoespacial: descubrimiento (list_layers), inspección (get_layer_schema, scan_field_stats), extracción (read_features), previsualización (preview_geometries) y cuatro niveles de visualización/exportación adaptados a distintos contextos (vista rápida, dinámico, imagen estática, cartográfico). No se detectan vacíos relevantes para el propósito del servidor.

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