This research envisions a comprehensive approach to enhance climate risk assessment and resilience planning, responding to the urgent challenges posed by climate change. The project is structured into three primary work packages: developing a simulation engine, advancing cloud computing simulations, and creating a user-friendly interface. The simulation engine will integrate diverse models and real-world data, supported by a processing pipeline and model ingestion APIs, streamlining risk assessments. Advancements in cloud computing will enable large-scale urban simulations, utilizing high-performance computing and uncertainty quantification methods. The final phase involves developing a visual programming language and an interactive web application, making climate risk assessments more accessible and intuitive for users from various fields. This approach aims to bridge the gap between complex computational models and practical application, ensuring a robust and scalable platform for effectively managing the built environment amidst the uncertainties of climate change.