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MLflow MCP server — experiments, runs, registered models, model versions, logged models (v3), traces, and assessments

Setup

Choose your client, copy the config, then fill in any required environment variables.

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claude mcp add mlflow --env MLFLOW_TRACKING_URI='<MLFLOW_TRACKING_URI>' --env MLFLOW_TRACKING_TOKEN='<MLFLOW_TRACKING_TOKEN>' --env MLFLOW_TRACKING_PASSWORD='<MLFLOW_TRACKING_PASSWORD>' -- npx -y @us-all/mlflow-mcp

Environment variables

  • MLFLOW_TRACKING_URI
  • MLFLOW_TRACKING_TOKEN
  • MLFLOW_TRACKING_PASSWORD

Replace the placeholders with your own credentials and keep them out of version control.