optuna mcp
pipStandardThe Optuna MCP server provides access to Optuna's hyperparameter optimization and analysis APIs. It exposes tools for automated optimization, visualization, and study management. It connects directly to Optuna's backend services. Developers use it to automate hyperparameter tuning, analyze optimization results, and manage studies programmatically.
71210Updated 5 days ago
Overview
The Optuna MCP server provides access to Optuna's hyperparameter optimization and analysis APIs. It exposes tools for automated optimization, visualization, and study management. It connects directly to Optuna's backend services. Developers use it to automate hyperparameter tuning, analyze optimization results, and manage studies programmatically.
Installation
1Install the package
pip
pip install optuna-mcp2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"optuna-optuna-mcp-github": {
"command": "uvx",
"args": [
"pip install optuna-mcp"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from optuna mcp?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in optuna mcp?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in optuna mcp"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in optuna mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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