Assumption when marginalizes over discrete missing values

Which missing value mechanism, [Missing Completely at Random(MCAR), Missing at Random(MAR), Missing Not at Random (MNAR)], is assumed when we marginalize over discrete predictor variable in regression?

This depends on the model. If are modeling the missingness mechanism, then it is MNAR. If not, then it is usually MAR.