If it's finite, ergodic, and stationary, then yes, a Markov chain has an entropy (rate) that is the average information gained in one step. If H(i) is the entropy associated with all transitions outward from State i taken in one step, then the Markov chain entropy rate is is Sum(i) of P(i)H(i), where P(i) is the stationary probability of State i.