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PyTorch Lightning provides an MCP (Model Context Protocol) server designed to streamline interaction with PyTorch Lightning models. It allows external clients and AI agents to programmatically train and inspect models using a standardized interface, abstracting away the underlying complexities. With both stdio and HTTP transport options, it offers a flexible way to integrate PyTorch Lightning capabilities into larger systems, enabling declarative model instantiation, configuration, and execution, and providing structured metadata in response.
