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@adjeiv adjeiv commented Jun 25, 2025

This project is super exciting - looking forward to giving it a try. Just noticed a few things while browsing through.

Motivation

Small typo and broken link in main README.

Description of the changes

Fixes to the above.

@toshihikoyanase toshihikoyanase self-assigned this Jun 25, 2025
@toshihikoyanase toshihikoyanase added the documentation Improvements or additions to documentation label Jun 25, 2025
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Looks great to me. Thank you for your contribution!

[![Tests](https://github.com/optuna/optuna-mcp/actions/workflows/tests.yml/badge.svg)](https://github.com/optuna/optuna-mcp/actions/workflows/tests.yml)

A [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server that automates optimization and anlysis using [Optuna](http://optuna.org).
A [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server that automates optimization and analysis using [Optuna](http://optuna.org).
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Good catch!

This demo showcases how to use the Optuna MCP server to automatically find optimal FFmpeg encoding parameters. It optimizes x264 encoding options to maximize video quality (measured by the SSIM score) while keeping encoding time reasonable.

Check out [examples/ffmpeg.md](https://github.com/optuna/optuna-mcp/tree/main/examples/ffmpeg/ffmpeg.md) for details.
Check out [examples/ffmpeg](https://github.com/optuna/optuna-mcp/tree/main/examples/ffmpeg/README.md) for details.
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@toshihikoyanase toshihikoyanase merged commit 301653c into optuna:main Jun 25, 2025
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@adjeiv adjeiv deleted the docs_fixes branch June 25, 2025 14:17
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2 participants