Mapping design is overwhelming for end users, who have to check at parthe correctness of the mappings and the possible informationdisclosure over the exported source instance. In this demonstration,we focus on the latter problem by proposing a novel practical solutionto ensure that a mapping faithfully complies with a set of privacyrestrictions specified as source policy views. We showcase MapRepair,that guides the user through the tasks of visualizing the results ofthe data exchange process with and without the privacy restrictions.MapRepair leverages formal privacy guarantees and is inherentlydata-independent, i.e. if a set of criteria are satisfied by themapping statement, then it guarantees that both the mapping and theunderlying instances do not leak sensitive information. Furthermore,MapRepair also allows to automatically repair an input mapping w.r.t.a set of policy views in case of information leakage. We build onvarious demonstration scenarios, including synthetic and real-worldinstances and mappings.