Microservices　identification　is　the　key　development　process　of　cloud-native　applications.　It　focuses　on　decomposing　system　into　decoupling　autonomous　components　to　support　development　and　deployment　independently.　This　process　requires　sophisticated　human　efforts　for　careful　requirements　analysis　and　validation　to　identify　the　appropriate　microservices　boundary　inside　system　modules.　Our　previous　work　RM2PT　can　help　to　achieve　a　validated　requirements　model　through　automatically　generating　prototypes　from　original　requirements　models.　The　validated　requirements　model　contains　the　precise　definitions　of　functionality　and　data　structure　that　can　help　in　microservices　identification.　In　this　paper,　we　present　a　tool　named　RM2MS　to　further　alleviate　the　problem　of　cloud-native　application　development　to　support　automatic　identification　of　microservices　from　the　validated　requirements　model.　RM2MS　can　automatically　analyse　the　relationship　between　functionality　and　data　structure,　and　trade-off　non-functional　factors　for　microservices　identification.　We　demonstrate　that　the　microservice　architecture　solution　generated　by　RM2MS　demonstrates　a　average　gain　of　27.1%　over　the　manual　approach　in　three　key　metrics(Function-Cohesion,　Modularity,　and　Instability),　while　exhibiting　efficiency　that　surpasses　the　manual　process　by　more　than　10-fold　through　five　case　studies.　The　proposed　approach　can　be　further　extended　and　applied　for　the　cloud-native　application　development　in　the　software　industry.　The　tool　can　be　downloaded　at　https://rm2pt.com/advs/rm2ms,　and　a　demo　video　casting　its　features　is　at　https://www.youtube.　com/watch?v=T71vQDasOSw