MLflow MCP Server provides a natural language interface to MLflow tracking servers through the Model Context Protocol. It exposes core MLflow functionality as standardized tools that AI assistants can use to query and manage machine learning experiments and models. The server connects to a local MLflow instance and offers tools for listing registered models, exploring experiments, retrieving detailed model information, and checking system status - making it valuable for data scientists who want to interact with their MLflow environment using conversational AI rather than programming interfaces.
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Lists all registered models in the MLflow model registry.
Lists all experiments in the MLflow tracking server.
Gets detailed information about a specific registered model.
Gets information about the MLflow tracking server and system.
