The purpose of Monte Carlo is to replace deterministic models (where inputs are fixed or modeled through scenarios) for stochastic models (where inputs are randomly selected from probability density functions) to provide a range of possible outcomes.
Incorporating Monte Carlo Simulation(MCS) in DCF valuation, gives you a range for possible intrinsic values, as compared to a single intrinsic value, when MCS is not used.