MlflowAgent MCP Server

mcp server for mlflow

The short version

This project provides a natural language interface to MLflow via the Model Context Protocol (MCP). It allows you to query your MLflow tracking server using plain English, making it easier to manage and explore your machine learning experiments and models.

1. MLflow MCP Server (mlflow_server.py): Connects to your MLflow tracking server and exposes MLflow functionality through the Model Context Protocol (MCP).

• Natural Language Queries — Ask questions about your MLflow tracking server in plain English
• Model Registry Exploration — Get information about your registered models
• Experiment Tracking — List and explore your experiments and runs
• System Information — Get status and metadata about your MLflow environment

What it needs from you

• Python 3.8+ - MLflow server running (default: http://localhost:8080) - OpenAI API key for the LLM

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.