Here we provide the first such test by applying automated MC-PDFT to the calculation of 908 automatically generated organic reactions in the RGD1 database. These data present a rich variety of organic reactivity and a challenging test for multiconfigurational approaches that is germane to reaction network exploration. Our results highlight the robustness of automated MC-PDFT in this domain compared to other perturbative multiconfigurational approaches such as NEVPT2 and outline the opportunity and challenges for applying multiconfigurational methods to high-throughput main-group reactivity. We find that combining APC with MC-PDFT produces robust results, with APC-PDFT reproducing DFT results for a set of single reference reactions. In addition, we show the deviation in relative energies from single reference are correlated to level of multiconfigurational character, with DFT and CCSD(T) becoming less reliable for strongly correlated systems (68% of reactions), and APC-PDFT providing better results in many of these cases.