That’s true that binary:logistic is the default objective for XGBClassifier, but I don’t see any reason why you couldn’t use other objectives offered by XGBoost package.
For example, you can see in sklearn.py source code that multi:softprob is used explicitly in multiclass case.
Moreover, if it’s really necessary, you can provide a custom objective function (details here).