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The main aim of this paper is to study the moderate deviation principle forMcKean-Vlasov stochastic differential equations with multiple scales.Specifically, we are interested in the asymptotic estimates of the deviationprocesses $\frac{X^{\delta}-\bar{X}}{\lambda(\delta)}$ as $\delta\to 0$ indifferent regimes (i.e. $\varepsilon=o(\delta)$ and $\varepsilon=O(\delta)$),where $\delta$ stands for the intensity of the noise and$\varepsilon:=\varepsilon(\delta)$ stands for the time scale separation. Therate functions in two regimes are different, in particular, we show that it isstrongly affected by the noise of the fast component in latter regime, which isessentially different from the former one and the case of large deviations (cf.\cite{HLLS}). As a by-product, the explicit representation formulas of the ratefunctions in all of regimes are also given. The main techniques are based onthe weak convergence approach and the functional occupation measure approach.

Multi-Scale McKean-Vlasov SDEs: Moderate Deviation Principle in Different Regimes