The Model Context Protocol (MCP) is a standardized format for storing and sharing information about machine learning models. It provides a structured way to describe the context in which a model was trained, the data it was trained on, the model architecture, hyperparameters, evaluation metrics, and other relevant details. The goal of the MCP is to make it easier for researchers, developers, and practitioners to understand, reproduce, and compare machine learning models.
https://modelcontextprotocol.io/introduction
https://spec.modelcontextprotocol.io/specification/2024-11-05/
https://github.com/modelcontextprotocol/servers
https://github.com/modelcontextprotocol/python-sdk
https://github.com/modelcontextprotocol/create-python-server
https://smithery.ai/