Integrates geographic data and services from the Géoplateforme to provide spatial context for Large Language Models (LLMs).
Geocontext is an experimental Model Context Protocol (MCP) server designed to augment Large Language Models (LLMs) with real-world geographic information. It addresses the inherent limitations of LLMs in accurately handling spatial queries by making the rich data and services of the Géoplateforme accessible. This tool aims to enhance LLMs' understanding and response generation for questions involving locations, altitudes, administrative boundaries, cadastral details, and urban planning information, streamlining the integration of complex geospatial data.