The metal–organic frameworks (MOFs) are expected as ideal biomimetic enzymes for colorimetric glucose detection because of their large surface areas, well defined pore structures, tunable chemical composition, and multi-functional sites. However, the intrinsically chemical instability and low mimetic enzyme activity of MOFs hinder the application of them in imitating the enzyme reactions. In this work, we demonstrated a metal-MOF synergistic catalysis strategy, by loading Pt nanoparticles (Pt NPs) on MIL-88B-NH₂ (Fe-MOF) to increase peroxidase-like activity for the detection of glucose. The induced electrons transfer from Pt atom to Fe atom accelerated the redox cycling of Fe³⁺/Fe²⁺, improved the overall efficiency of the peroxidase-like reaction, and enabled the efficient and robust colorimetric glucose detection, which was proved by both experiments and density functional theory (DFT) calculation. Additionally, the sensitivity and chemical stability of this synergistic effect strategy to detect the glucose are not affected by the complex external factors, which represented a great potential in fast, easy, sensitive, and specific recognition of clinical diabetes.