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Scientific Computing Library Portal (SCLP) is a system for scientific researchers to obtain, contribute, share, store, and analyze scientific algorithm through a portal platform. Due to incomplete existing scientific computing library, not so centralized massive knowledge resources, and distributed data analyses for a science team, it is desired that the development of SCLP as a centralized database for computing discipline could overcome the problems highlighted previously. Four disciplines of scientific computing are included in SCLP which are mathematics, engineering, computer science, and bioinformatics. Data collection was gathered from the expert in each discipline. This paper also highlights the importance of metadata to ease the process of obtaining the data. Result from this paper is about the architecture of scientific computing library portal for sequential algorithm which covers the four mentioned disciplines.