This research conducted with Baron outlines the capability of utilizing GIS to create an automated, near real-time application for mapping potential storm surge inundation and the vulnerability of coastal communities located along the Gulf of Mexico. High resolution coastal topographic data, NOAA Probabilistic Storm Surge model outputs, and the NOAA Census tract level Social Vulnerability Index (SoVI) were combined to map both potential flood inundation heights and population vulnerability. The program was automated through a GIS framework written within a Python programming environment, and displayed in an Application Program Interface (API) allowing users to interactively assess potential storm surge risks. The goal of this work was to develop a more accurate and detailed method for visualizing areas at high risk of storm surge flooding for emergency response at a near real-time basis, while providing the public with a better understanding of how flood waters will affect their livelihoods. This methodology successfully provides an automated means of mapping high resolution storm surge inundation and vulnerability that National Weather Service forecasters and emergency responders can use to enhance decision making and the communication of threatening weather information to the public.