MCP Servers

geoanalisis-mcp

Enables reading and analysis of vector spatial data through Claude Desktop, supporting formats like FileGDB, Shapefile, GeoJSON, and GeoPackage with tools for layer listing, schema inspection, field statistics, feature extraction, and interactive map rendering.

README

GeoAnalisis MCP

Servidor MCP para lectura y análisis de datos espaciales vectoriales, integrado con Claude Desktop.

Herramientas

Tool	Descripción
`list_layers`	Lista las capas de un archivo espacial con tipo de geometría, feature count y CRS
`get_layer_schema`	Esquema completo de una capa: campos, tipos, bbox, CRS
`scan_field_stats`	Estadísticas descriptivas por campo (numéricos y categóricos)
`read_features`	Lee features como GeoJSON FeatureCollection con filtros WHERE y bbox
`preview_geometries`	Vista previa de geometrías en WKT
`render_map`	Mapa interactivo HTML (Canvas 2D, pan/zoom/click, coloreado por campo)

Formatos soportados: FileGDB (.gdb), Shapefile (.shp), GeoJSON, GeoPackage (.gpkg), KML y cualquier formato vectorial compatible con GDAL/OGR.

Instalación

Requiere Python ≥ 3.11 y uv.

git clone https://github.com/dalexrobles/geoanalisis-mcp
cd geoanalisis-mcp
uv sync

Configuración en Claude Desktop

Agrega esto a tu claude_desktop_config.json:

{
  "mcpServers": {
    "geoanalisis": {
      "command": "/ruta/al/repo/.venv/bin/geoanalisis-mcp"
    }
  }
}

render_map

Genera un artifact HTML interactivo directamente en Claude. Usa Canvas 2D API con tiles CartoDB Positron — sin WebWorkers, compatible con el sandbox de Claude.

Pan arrastrando, zoom con rueda del ratón o botones
Clic en un feature para ver sus atributos
Parámetro color_by para colorear por campo categórico
Simplificación geométrica automática para capas grandes

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