The MiMiC framework has first been applied in the context of hybrid quantum mechanical/molecular mechanics (QM/MM) simulations, where it does not only interface the QM and MM drivers, but also computes the electrostatic interaction between the QM and MM subsystems. Highly popular for -but not limited to -biochemical applications, the QM/MM approach, allows, for example, a chemically relevant part of a protein (QM) to be simulated using first principles methods, while the rest of the system (MM) can be conveniently described at the force-field level with sufficient accuracy. As such, the QM/MM method has been implemented in various program-specific contexts, often in a tight-coupling fashion. Here, we present the parallelization schemes used in MiMiC and demonstrate that the use of the loosely-coupled MiMiC framework allows for more flexibility without compromising computational efficiency with respect to existing, tight-coupling implementations.