QCArchive hosts large collections of internally generated and user-submitted data, including the popular QM9 and ANI-1 datasets. The data on QCArchive can be downloaded in HDF5 format from their web site or can be accessed through a representational state "Materials Project for Molecules", or "MPcules" for short. We have developed a database schema and modular data processing pipeline that allows molecular DFT calculations to be converted into rich molecule and molecular property documents with unique, robust, and chemically meaningful IDs. This data pipeline can be used to add data to MPcules or to develop bespoke datasets. As a means to access the data in MPcules, we have expanded the Materials Project API and associated Python API client. Further, we have developed and released a new application (app) on the Materials Project web site allowing users to visualize the data in MPcules without any programming knowledge. MPCules currently contains more than 170,000 molecules assembled from more than half a million DFT calculations. It is envisioned as a dynamic database that will continue to grow both in terms of the number of molecules as well as the number and types of properties included. In this paper, we describe the methods used to construct MPcules and report on the current status of the database.