The Human Connectome Project (HCP) aims to integrate multiple MRI modalities—structural, functional, and diffusion—into a common automated preprocessing framework. The HCP has developed minimal preprocessing pipelines to address various low-level tasks, including spatial artifact removal, surface generation, cross-modal registration, and alignment to standard space. These pipelines are designed to capitalize on the high-quality data provided by the HCP, using the CIFTI file format and the grayordinates spatial coordinate system. The final standard space facilitates combined cortical surface and subcortical volume analyses while reducing storage and processing requirements for high-resolution data. The pipelines are fully automated and robust, minimizing blurring and achieving accurate cross-modal alignment. The article also provides guidelines for minimum acquisition requirements and best practices for investigators interested in replicating the HCP's acquisition protocols or using these pipelines. Additionally, it discusses potential future improvements for the pipelines.The Human Connectome Project (HCP) aims to integrate multiple MRI modalities—structural, functional, and diffusion—into a common automated preprocessing framework. The HCP has developed minimal preprocessing pipelines to address various low-level tasks, including spatial artifact removal, surface generation, cross-modal registration, and alignment to standard space. These pipelines are designed to capitalize on the high-quality data provided by the HCP, using the CIFTI file format and the grayordinates spatial coordinate system. The final standard space facilitates combined cortical surface and subcortical volume analyses while reducing storage and processing requirements for high-resolution data. The pipelines are fully automated and robust, minimizing blurring and achieving accurate cross-modal alignment. The article also provides guidelines for minimum acquisition requirements and best practices for investigators interested in replicating the HCP's acquisition protocols or using these pipelines. Additionally, it discusses potential future improvements for the pipelines.