This paper addresses the consensus problem in the uncertain Takagi-Sugeno (T-S) Fuzzy Multi-Agent System (MAS) by employing static output feedback control, specifically tailored for systems with limited measurable states. Fuzzy Lyapunov functions is applied, enabling stability analysis in uncertain and dynamic environments by using parallel distributed compensation (PDC) concept. In addition, the fuzzy Lyapunov function offers relaxed stability criteria, allowing the search of robust control mechanisms. The simulation results demonstrate the effectiveness of the proposed methodology, showing convergence to stable consensus among agents.