optuna-mcp
Active·★ 88·MIT·Updated 2026-10-22
Optuna MCP Server exposes the Optuna hyperparameter optimization framework as a Model Context Protocol server. It lets LLMs and AI assistants run and manage optimization studies directly through a chat interface, create and analyze Optuna trials, and optimize parameters for any workflow. Compatible with Claude Desktop, Cursor, and other MCP clients via uv or Docker.
#hyperparameter-optimization#llm#mcp#mcp-server#mcp-servers#optimization#python
01
Features
01Run Optuna optimization studies via natural language through any MCP client
02Create, manage, and analyze trials interactively in a chat session
03Persist optimization results with configurable Optuna storage backends
04Supports uv and Docker installation for Claude Desktop and Cursor
05Enables LLMs to optimize parameters of other MCP tools
02
Compatibility
Claude Desktop
Native
Verified via docs
Cursor
Supported
Verified via docs
Python 3.12+
Python 3.12+
Verified via docs
03
Quick start
1
$ uvx optuna-mcp
04
Use cases
↳Automated hyperparameter tuning for ML models driven by an LLM
↳Interactive analysis of existing Optuna optimization results via chat
↳Optimizing inputs and outputs of other MCP tool pipelines
05
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