A Markov Decision Process (MDP) is a mathematical framework for modeling decision-making situations where outcomes are partly random and partly under the control of a decision maker. It provides a formalism for modeling sequential decision-making problems where the next state depends only on the current state and the action taken, embodying the Markov property.