CC/PP (Composite Capability/Preference Profile) is a mechanism for content negotiation and adaptation between users and servers. The heterogeneity in communication devices and difference between application situations make it difficult to guarantee the compatibility of CC/PP documents. This increases CC/PP parsing time, and decreases service quality. The compatibility and efficiency are two contrary requirements. In this paper, we compare different approaches of CC/PP resolution. We introduce our CC/PP Parser design that is based on the UAProf CC/PP Schema and employs Java Factory Mode and XML SAX parser. We try to solve both the compatibility and efficiency problems. The parsing speed is 3-5 times that with RDF Parser. The coordination between server-adaptation and proxy-adaptation via CC/PP is simple and effective. The proxy and server can focus on adaptations optimized for free and paid services respectively, and system performance can be improved. Our system is configurable with an XML setup file. The existing approaches for CC/PP security and privacy protection decrease service quality. We suggest performing P3P comparison in the proxy. Our P3P approach increases service performance and can be integrated into the coordination model of server-adaptation and proxy-adaptation.