Optuna MCP Server

v1.0.0Data Processingstable

The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.

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About

The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.

Features

  • create_study
  • get_all_study_names
  • ask
  • tell
  • set_sampler

Use Cases

Create a new Optuna study with the given study_name and directions. If the study already exists, it will be simply loaded.
Get all study names from the storage.
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': fa
Report the result of a trial
Set the sampler for the study. The sampler must be one of the following: - TPESampler - NSGAIISampler - RandomSampler - GPSampler The default sampler for single-objective optimization is TPESampler. The default sampler for multi-objective optimizatio
optuna

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx optuna

Examples

Basic Configuration

Configure Optuna MCP Server

npx optuna

Configuration

Configuration Details

Config File

claude_desktop_config.json

Web UI

Not available

Security

Authentication

RequiredNo

Features

Data Encryption
Audit Logging
RBAC Support

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

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Quick Config Preview

{ "mcpServers": { "optuna": { "command": "npx", "args": ["-y", "optuna"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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