mlflow MCP
v1.12.7io.github.us-all/mlflow
MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)
transport:stdio
runtime:npm
Target client
run in your project directory
claude mcp add mlflow -e MLFLOW_TRACKING_URI=<MLFLOW_TRACKING_URI> -e MLFLOW_TRACKING_TOKEN=<MLFLOW_TRACKING_TOKEN> -e MLFLOW_TRACKING_USERNAME=<MLFLOW_TRACKING_USERNAME> -e MLFLOW_TRACKING_PASSWORD=<MLFLOW_TRACKING_PASSWORD> -e MLFLOW_EXPERIMENT_ID=<MLFLOW_EXPERIMENT_ID> -e MLFLOW_TOOLS=<MLFLOW_TOOLS> -e MLFLOW_DISABLE=<MLFLOW_DISABLE> -e MLFLOW_ALLOW_WRITE=<MLFLOW_ALLOW_WRITE> -- npx -y @us-all/mlflow-mcp
Adds it for this project only. Append --scope user to make it available everywhere. Claude Code docs
This listing does not declare its tools. Connect the server and your client will discover them on the handshake.