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Optuna MCP Server

Official
by optuna
GitHub
Python
MIT License
25
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Generate optimized hyperparameters for machine learning models using Optuna's search space. Define distributions in a dictionary format to suggest new parameters efficiently.

Instructions

Suggest new parameters using Optuna

search_space must be a string that can be evaluated to a dictionary to specify Optuna's distributions. Example: {"x": {"name": "FloatDistribution", "attributes": {"step": null, "low": -10.0, "high": 10.0, "log": false}}}

Input Schema

NameRequiredDescriptionDefault
search_spaceYes

Input Schema (JSON Schema)

{ "properties": { "search_space": { "additionalProperties": true, "title": "Search Space", "type": "object" } }, "required": [ "search_space" ], "title": "askArguments", "type": "object" }
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