In this work, we present a pilot implementation of a new framework for multiscale modeling in computational chemistry (MiMiC), with the goal to combine the best of both worlds: flexibility and efficiency. To this end, we have designed a strategy based on a multipleprogram multiple-data (MPMD) model with loose coupling between programs (see illustration in Figure ). In this strategy, MiMiC couples a main driver, which runs the molecular dynamics (MD) simulation, to a set of external programs, each of which concurrently computes the contributions that are relevant to a specific subsystem using their own optimal parallelization strategy. The aim is to support a wide range of models, such as QM, MM, CG, and CM, and also to provide the necessary functionality to compute the subsystem interaction terms when needed. Efficient communication between programs is achieved through the use of a lightweight communication library (CommLib), which was developed in the context of this work. CommLib uses MPI intercommunicators and thus gives access to high-speed interconnects, such as InfiniBand and Omni-Path Architecture. We demonstrate the prowess of the MiMiC framework in a new efficient implementation of electrostatic embedding QM/MM by combining the highly efficient CPMD 27 and GRO-MACS codes. This new QM/MM implementation features a generalized version of the electrostatic coupling scheme by Laio et al. which greatly accelerates the computation of QM-MM interaction terms potentially without any loss of accuracy. In the following, we provide a theoretical description of the QM/MM approach used in this work followed by an overview of the MiMiC framework. Finally, we present results from illustrative applications of the methodology before concluding with an outlook.