MedSpaCy is a modular library for clinical natural language processing built on the spaCy framework. It provides specialized components for healthcare text including clinical sentence segmentation, semantic modifier detection using the ConText algorithm (negation, uncertainty), section detection, entity extraction utilities, and flexible post-processing. All components integrate into spaCy processing pipelines for structured extraction from clinical documents.