This paper proposes the robust model predictive control of positive time-delay systems with interval andpolytopic uncertainties, respectively. The model predictive control framework consists of linear constraint, linearperformance index, linear Lyapunov function, linear programming algorithm, and cone invariant set. By virtue ofmatrix decomposition technique, robust model predictive controllers of interval and polytopic positive systems withmultiple state delays are designed, respectively. A multi step control strategy is utilized and a cone invariant set isconstructed. Linear programming is used for the corresponding MPC conditions. Finally, a numerical example isgiven to verify the effectiveness of the proposed design.