MLflow

Python

Updated date: 24 Apr 2025

🇺🇸 Offers an easy-to-use language interface for MLflow tracking servers. You can use it to query and manage your machine learning experiments and models with standard tools for listing models, exploring experiments, and getting detailed information.

🇰🇷 기계 학습 실험과 모델을 관리하고 조회하기 위해 MLflow 추적 서버에 자연어 인터페이스를 제공합니다. 이를 통해 모델 목록을 작성하고 실험을 탐색하며 자세한 정보를 조회할 수 있는 표준화된 도구를 사용할 수 있습니다.

🇯🇵 「MLflowトラッキングサーバーに対して自然言語インターフェースを提供し、機械学習の実験やモデルを管理するための標準ツールを通じて、モデルの一覧表示、実験の探索、詳細情報の取得が可能です。」

🇨🇳 提供自然语言接口，方便用户通过标准化工具查询和管理MLflow跟踪服务器上的机器学习实验和模型，包括列出模型、探索实验和获取详细信息。

Description

MLflow MCP Server provides a natural language interface to MLflow tracking servers through the Model Context Protocol. It exposes core MLflow functionality as standardized tools that AI assistants can use to query and manage machine learning experiments and models. The server connects to a local MLflow instance and offers tools for listing registered models, exploring experiments, retrieving detailed model information, and checking system status - making it valuable for data scientists who want to interact with their MLflow environment using conversational AI rather than programming interfaces.

iRahulPandey