Ontology and schema matching are well established techniques, which have been applied in various integration scenarios, e.g., web service composition and database integration. Consequently, matching tools enabling automatic matching of various kinds of schemas with various matching techniques are available. In the field of model-driven engineering, in contrast to schema and ontology integration, the in- tegration of modeling languages relies on manual tasks such as writing model trans- formation code, which is tedious and error-prone. Therefore, we propose the applica- tion of ontology and schema matching techniques for automatically exploring seman- tic correspondences between metamodels, which are currently the modeling language definitions of choice. The main focus of this paper is on reporting preliminary results and lessons learned by evaluating currently available ontology matching tools for their metamodel matching potential.