MLflow

stdio

Средний риск8.7/10

aiml-opsexperiment-tracking

Команда

npx -y mlflow-mcp-server

Аргументы

1. -y
2. mlflow-mcp-server

Оценка безопасности

Индикаторы доверия

+ Allowlisted runner- Unpinned version

ID	Label	Kind	Required
tracking-uri	MLflow Tracking URI	string	Yes
tracking-token	MLflow Tracking Token	secret	No

CLI

npx mindaxis apply mlflow --target cursor --scope project

MLOps Platform

End-to-end ML lifecycle: training, tracking, evaluation, and deployment