Slim Spatial MCP Server

Example Use Cases

• 1

  Perform efficient spatial queries on government GIS datasets.

• 2

  Conduct high-dimensional vector similarity searches within geospatial data.

• 3

  That require a Dockerized PostgreSQL environment with PostGIS and pgvector extensions.

Description

This project provides a robust framework to handle and query comprehensive geospatial datasets with PostgreSQL extensions PostGIS and pgvector. It supports high-dimensional vector similarity searches and spatial data manipulation, packaged in a Docker environment for easy deployment. The server includes services for database initialization, management via pgAdmin, and an MCP server using fastmcp for agent integration.