What is the io.github.us-all/mlflow MCP server?
MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
How to install io.github.us-all/mlflow
Copy-paste configuration for popular MCP clients.
MLFLOW_TRACKING_URIrequiredMLflow tracking server URI (e.g. http://localhost:5050, https://mlflow.example.com).
MLFLOW_TRACKING_TOKENsecretBearer token for authenticated MLflow servers (e.g. Databricks).
MLFLOW_TRACKING_USERNAMEBasic-auth username (alternative to token).
MLFLOW_TRACKING_PASSWORDsecretBasic-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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