Existing cryptography-based algorithms for multi-party computation problems (MPCP) are either too complex to be used practically or applicable only to the specific applications for which they have been developed. In addition, traditional (non-cryptography-based)algorithms do not provide good privacy protection for MPCPs. This paper presents the security system design, intuitive analysis, and empirical evaluation of an agent server platform for protecting privacy in solving multi-party computation problems with traditional algorithms. We have devised the security policies for an agent server platform and showed how the enforcement of those policies can effectively protect privacy while solving many MPCPs. Experimental analysis shows that the presented agent platform security system can significantly enhance privacy protection while solving the problems with traditional algorithms.