Objective: Research has acknowledged that the MMSE has limited utility for detecting MCI, which has been attributed to a reduced evaluation of executive skills and intrinsic bias of using verbal task items. Researchers suggest the addition of 1–2 neuropsychological instruments may improve diagnostic accuracy. This study sought to improve diagnostic accuracy of the MMSE by adding a nonverbal memory task (ROCF) known to evaluate executive functioning. Method: The sample consisted of 138 non-demented individuals (Age: M = 61.40, SD = 11.17; Edu: M = 16.36, SD = 3.03) who were administered a neuropsychological battery. After the evaluation, 58 individuals (42.0%) where diagnosed with MCI. A univariate logistic regression analysis was used to determine independent significant predictors of MCI. A multivariate logistic regression was constructed based on significant predictors. Results: A univariate analysis revealed the MMSE and ROCF(Copy, 3-minute Delay, Retention) were predictive of MCI. The MMSE independently correctly classified 73.9% of individuals (correctly classified 88.8% of normals and 53.4% with MCI). The multivariate model correctly classified 84.8% of individuals (correctly classified 92.5% of normals and 74.1% with MCI). Significant predictors in the model included the MMSE (OR = 0.26, p < 0.001), ROCF Retention (OR = 1.06, p = 0.024), Copy (OR = 0.45, p = 0.002), and Delay (OR = 0.29, p = 0.009). Conclusion(s): Results suggest the addition of a nonverbal memory and executive functioning test to the MMSE improves detection of MCI in the screening process.