Nowadays, large amounts of structured, semistructured and unstructured data are produced. In these amounts, important information may be hidden. To analyze and to visualize these amounts of data, it must be collected, pre-processed and integrated in an ad-hoc manner. The integration process is, however, costly, time-consuming and difficult to process. It also requires deep technical knowledge of programming languages, different APIs and data processing techniques. Mashup tools are a rising technology with the goal of flexible ad-hoc integration of heterogeneous data. Modern web technologies offer different approaches to developing Mashup tools. An important aspect is the extensibility of an existing Mashup tool with additional functionality. The extensibility depends on the technical abilities of the user. An interface, which allows users without or with little technical background to expand an existing Mashup tool with further functionality, is desirable. Within the scope of this Bachelor thesis, a concept is developed and a prototype is implemented, which allows users without extensive technical knowledge to expand an existing Mashup tool with further functionality. A uniform interface for adding services has been developed, which are then automatically provisioned and can be used for modeling.