  We prove It{\^o}'s formula for the flow of measures associated with a jump
process defined by a drift, an integral with respect to a Poisson random
measure and with respect to the associated compensated Poisson random measure.
We work in $\mathcal{P}_{\beta}(\mathbb{R}^d)$, the space of probability
measures on $\mathbb{R}^d$ having a finite moment of order $\beta \in (0, 2]$.
As an application, we exhibit the backward Kolmogorov partial differential
equation stated on $[0,T] \times \mathcal{P}_{\beta}(\mathbb{R}^d)$ associated
with a McKean-Vlasov stochastic differential equation driven by a Poisson
random measure. It describes the dynamics of the semigroup associated with the
McKean-Vlasov stochastic differential equation, under regularity assumptions on
it. Finally, we use the semigroup and the backward Kolmogorov equation to prove
new quantitative weak propagation of chaos results for a mean-field system of
interacting Ornstein-Uhlenbeck processes driven by i.i.d. $\alpha$-stable
processes with $\alpha \in (1,2)$.
