io.github.us-all/mlflow
MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
Verdict not yet evaluated for this tool. The semantic screen takes adversarial cases first; coverage rolls out as the corpus expands (15/150 labels to graduation). The deterministic conformance probe is built but has not yet run on the public corpus, so a recorded verdict here is REVIEW or UNVERIFIED, never a clearing ALLOW. Until a verdict is recorded, an agent should treat this tool as not-yet-cleared and fall back to its own checks. Method: the eval, four-state verdict, honest limits.
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MLFLOW_TRACKING_URIMLflow tracking server URI (e.g. http://localhost:5050, https://mlflow.example.com).
MLFLOW_TRACKING_TOKENBearer token for authenticated MLflow servers (e.g. Databricks).
MLFLOW_TRACKING_USERNAMEBasic-auth username (alternative to token).
MLFLOW_TRACKING_PASSWORDBasic-auth password (alternative to token).
MLFLOW_EXPERIMENT_IDDefault experiment ID for run-creation tools.
MLFLOW_TOOLSComma-separated category allowlist. Default: all categories enabled.
MLFLOW_DISABLEComma-separated category disablelist.
MLFLOW_ALLOW_WRITESet to 'true' to enable write/destructive tools. Default read-only.
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