Probabilistic programming can be done via MCMC approaches, but you can also infer the necessary quantities by using variational inference (which approximates the distribution described by your program with something that's simpler and easier to estimate).

Basically probabilistic programming is a way of describing a distribution, and then MCMC is one way of inferring the quantities in that distribution.