plot_param_importances

MCP tool from Optuna MCP by optuna

Return the parameter importances plot as an image.

How to use it

Project documentation lists plot_param_importances for the Optuna MCP MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

Install Optuna MCP

$/path/to/uvx optuna-mcp
FULL OPTUNA MCP LISTING

Other tools in Optuna MCP (23)

ask

Suggest new parameters using Optuna.

best_trial

Get the best trial.

best_trials

Return trials located at the Pareto front in the study.

create_study

Create a new Optuna study with the given studyname and directions.

get_all_study_names

Get all study names from the storage.

get_directions

Get the directions of the study.

get_metric_names

Get metricnames.

get_trial_user_attrs

Get user attributes in a trial.

get_trials

Get all trials in a CSV format.

launch_optuna_dashboard

Launch the Optuna dashboard.

plot_contour

Return the contour plot as an image.

plot_edf

Return the EDF plot as an image.

plot_hypervolume_history

Return the hypervolume history plot as an image.

plot_optimization_history

Return the optimization history plot as an image.

plot_parallel_coordinate

Return the parallel coordinate plot as an image.

plot_pareto_front

Return the Pareto front plot as an image for multi-objective optimization.

plot_rank

Return the rank plot as an image.

plot_slice

Return the slice plot as an image.

plot_timeline

Return the timeline plot as an image.

set_metric_names

Set metricnames. Metricnames are labels used to distinguish what each objective value is.

set_sampler

Set the sampler for the study.

set_trial_user_attr

Set user attributes for a trial.

tell

Report the result of a trial.