MLflow
Summary
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.
Available Actions(4)
list_models
Lists all registered models in the MLflow model registry.
list_experiments
Lists all experiments in the MLflow tracking server.
get_model_details
Gets detailed information about a specific registered model.
get_system_info
Gets information about the MLflow tracking server and system.
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