Delete an MLflow run by moving it to the 'deleted' lifecycle stage. The run is hidden from UI and queries but remains recoverable through the MLflow API.
A Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.