In this study, we present an integrated search method based on municipal attributes and issue similarities for MaaS precedents. In recent years, many cities have faced environmental problems and traffic congestion due to automobiles. In addition, depopulation and aging of the population, especially in rural areas in Japan, are increasing the severity of issues surrounding mobility. There is a trend to consider the introduction of MaaS in many parts of the world as a solution to these problems. In Japan, the national government and municipalities conduct demonstration experiments. However, there is a lack of knowledge regarding MaaS and many municipalities still face issues. In this method, a municipality that considers the introduction of a new MaaS system enters its attributes such as population and area, as well as regional transportation issues. Based on this information, the system searches for and presents precedents similar to those of various MaaS precedents that have been tested. This method enables a municipality to consider the introduction of MaaS to find precedents that have similar conditions and to use them as a reference to develop a new MaaS that is suited to the current situation in the region.