We integrate a logic programming language into Meta-S, a flexible and extendable constraint solver cooperation system, by treating resolution as constraint solver. This new approach easily yields a CLP language with support for solver cooperation. Applying the strategy definition framework of Meta-S we define classical search strategies and more sophisticated ones, that allow an efficient evaluation of multi-domain constraint logic programs.