Mean-Field Games are games with a continuum of players that incorporate the time-
dimension through a control-theoretic approach. Recently, simpler approaches relying on the Best
Reply Strategy have been proposed. They assume that the agents navigate their strategies towards
their goal by taking the direction of steepest descent of their cost function (i.e. the opposite of the
utility function). In this paper, we explore the link between Mean-Field Games and the Best Reply
Strategy approach. This is done by introducing a Model Predictive Control framework, which consists
of setting the Mean-Field Game over a short time interval which recedes as time moves on. We show
that the Model Predictive Control offers a compromise between a possibly unrealistic Mean-Field Game
approach and the sub-optimal Best Reply Strategy.