Many interesting processes share the property of multivariate regular variation. This property is equivalent to existence of the tail process introduced by B. Basrak and J. Segers \cite{Basrak09} to describe the asymptotic behavior for the extreme values of a regularly varying time series. We apply this theory to multivariate MA($\infty$) processes with random coefficients.