This　paper　delves　into　the　problem　of　achieving　finite-time　output　feedback　control　for　multi-agent　systems　subject　to　stochastic　nonlinear　dynamics.　To　tackle　system　uncertainties,　we　have　devised　a　state　observer　that　serves　to　approximate　the　nonlinear　dynamics　and　estimate　the　unmeasurable　states.　To　minimize　the　utilization　of　communication　resources,　we　have　incorporated　an　event-triggered　mechanism　into　our　approach.　Furthermore,　the　devised　event-triggered　controller　effectively　prevents　the　emergence　of　Zeno　behavior.　Upon　conducting　a　thorough　stability　analysis,　it　has　been　rigorously　demonstrated　that　the　tracking　error　converges　to　a　small　vicinity　around　the　origin　within　a　finite　time　frame.　The　effectiveness　of　the　theoretical　results　is　validated　through　simulations,　demonstrating　strong　robustness　and　adaptability,　making　it　suitable　for　applications　in　practical　complex　environments.　　©　Published　under　licence　by　IOP　Publishing　Ltd.