In recent years, the increased availability of computational resources has allowed scientists to numerically investigate weather and climate phenomena of growing complexity—both on a regional and global scale—and their mutual interaction by using coupled models that can describe the dynamics of energy, mass, and momentum exchange occurring at the interface of systems (e.g. atmosphere, ocean) traditionally simulated in separate computations. Despite such progress, a remarkable amount of time and expertise remains requisite to developing accurate coupled climate models. Few software tools currently exist to facilitate work on the sophisticated parallel computer codes at the foundations of modern coupled models, and to enable in-­‐depth and time-­‐efficient testing of scientific hypotheses or code design alternatives. A simple communication library has been developed at Texas A&M University using the Fortran 90 language, with the purpose of minimizing the effort involved in writing software to drive coupled climate models, thus providing easier access to the corresponding computer codes to researchers of different levels of expertise. The minimal API provides a streamlined and quick-­‐to-­‐learn framework that allows writing robust coupling software in short time, hiding the complexity of parallel programming from the user and minimizing the chances of coding errors. The library is locally maintained and distributed through a Git repository, which is intended to become publicly accessible. The library’s design and API and a few practical examples, including a basic coupled code, will be detailed to illustrate the capabilities of this new software infrastructure.