In this work, we present a python package to automate conformer generation of (metal containing) complexes in explicit solvent. Our tool performs parametrization of metal-containing structures and sets up a workflow for simulation and analysis. The automatization makes conformer generation accessible to the non-expert user. It allows for a straightforward implementation of conformational sampling (in explicit solvent) in standard computational chemistry workflows, e.g., for the determination of reaction mechanisms. With increasing system size, our python package outperforms semi-empirical methods, such as CREST. A subsequent reoptimization of the obtained clusters with DFT ensures that true energy minima are found.