Optuna MCP
未认领The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
安装
/path/to/uvx optuna-mcp更多AI & ML服务器
浏览完整目录安全概况
已认领和已认证的服务器每周接受一次静态扫描，显示代码能触及的范围（外部服务、环境变量、shell 命令、代理配置目录）以及带有已知公告的依赖。认领此列表即可获得。 安全概况的工作原理
24 个工具中显示 24 个
文档中列出的工具 (24)
内容来自项目文档。服务器握手不会验证每个工具的说明或行为。
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_param_importances
Return the parameter importances 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.