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optuna-mcp
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optuna-mcp

Active·★ 84·MIT·Updated 2026-08-05

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.

optuna-mcp is currently grouped under Dev Tooling, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Run Optuna optimization studies via natural language through any MCP client and Automated hyperparameter tuning for ML models driven by an LLM. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 84 GitHub stars.

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#hyperparameter-optimization#llm#mcp#mcp-server#mcp-servers#optimization#python
$ Install
$ uvx optuna-mcp
↗ Visit site★ GitHub
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

Why choose it

+Run Optuna optimization studies via natural language through any MCP client
+Automated hyperparameter tuning for ML models driven by an LLM
+Covers 3 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Claude Desktop
Native
Verified via docs
Cursor
Supported
Verified via docs
Python 3.12+
Python 3.12+
Verified via docs
05

Quick start

1
$ uvx optuna-mcp
06

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
07

How it compares

≈optuna-mcp sits in the Dev Tooling category, so it makes more sense to evaluate it alongside tools like dbx instead of in isolation.
≈If your main need is closer to "Automated hyperparameter tuning for ML models driven by an LLM", that use case is a better lens for comparison than broad feature checklists alone.
≈optuna-mcp uses a MIT license, and community traction are both easier to judge in category context.
08

Alternatives

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dbx★ 18.9k
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fastmcp logo
fastmcp★ 27.6k
🚀 The fast, Pythonic way to build MCP servers and clients.
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FunASR logo
FunASR★ 20.3k

Related searches

optuna-mcp AlternativesBest Dev Tooling Tools 2026Open Source Dev Toolingoptuna-mcp Tutorialoptuna-mcp Vs Competitorshyperparameter-optimizationllmmcp

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07
How it compares
08Alternatives
Stats
GitHub Stars★ 84
Last commit1mo ago
StatusActive
LicenseMIT
CategoryDev Tooling
Trend (30d)
+3.3↑ 2.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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