The article intends to obtain an environment friendly, low-cost natural fiber (Agave Cantala Fiber) and Multiwalledcarbon nanotube (MWCNT) composite by the experimental design approach. More specifically, study is associatedwith multi-response modelling and optimization of a novel composite material for cleaner manufacturing. The MixtureDesign technique is adopted to ensure the mixture components' multi-response optimization, namely, MWCNT, Cantalafibers, and Epoxy resin. The tensile, flexural, and impact strength of the novel composite material are considered foroptimization. The experiments are planned as per the mixture design, and the data is collected on all these responses. The CoxResponse Trace plot, Pareto Chart for Standardized Effects, Overlaid Contour plot, and Response Optimizer plot areeffectively used to develop predictive models and to identify an optimum combination of the mixture for all the responses. The findings will assist in developing an optimal combination of component mixtures and a predictive model for compositematerial through the structured and robust statistical methodology. This material will assist in cleaner and greenermanufacturing of composite materials, while the approach adopted will help researchers as a template for robust compositematerial development.