The overall objective of Mopo is to develop a validated, user-friendly, feature-rich, innovative and well-performing energy system modelling toolset to serve public authorities, network operators, industry and academia to plan sustainable and resilient energy systems in a cost-effective manner. Mopo will include 1) component tools to produce all necessary energy system data; 2) system tool to manage data, scenarios and modelling workflows, to visualise data and to maintain datasets in multi-user environment without losing the track of changes; 3) planning tool to optimise all energy sectors in detail, including sector specific physics and highly flexible representation of temporal, spatial and technological aspects – user can choose how to model depending on the specific needs. The project is based on existing state-of-the-art tools including Spine Toolbox and SpineOpt. The advanced capabilities will be demonstrated through an industrial case (with detailed sector-specific physics) and Pan-European case (resilient pathways). The project will also produce an open access Pan-European dataset at hourly temporal resolution and high spatial resolution (NUTS2 capable). It can be fed into SpineOpt or used by other modelling groups. Mopo tools can recreate data at resolution required by the end-user – also for future climates. End-user requirements, feedback and tool validations will be important part of Mopo – the consortium includes representatives from all end-user categories. Partners will also have skills in user-interfaces, computational efficiency, data processing, code testing, community building and all aspects related to energy systems (technologies, sectors, resources). Mopo project aims to benefit 60% of network operators and public authorities within 2 years of the project end. The tools will be modular, which allows different organisations to adopt the parts that benefit their existing modelling systems.