MLflow MCP Server

Stableother

★90 starsPythonmlflow

About

Overview

The MLflow MCP Server enables AI agents to interact with MLflow's ML lifecycle platform. It provides tools for experiment tracking, model registry, and artifact management.

Capabilities

Tools & Capabilities

⚡list_experiments

List MLflow experiments

⚡get_run

Get experiment run details

⚡register_model

⚡list_models

List registered models

Setup

Installation

bash

Install

pip install mcp-server-mlflow

Examples

Example Usage

javascript

Usage

{
  "mcpServers": {
    "mlflow": {
      "command": "python",
      "args": ["-m", "mcp_server_mlflow"]
    }
  }
}

Quick Info

Authormlflow

LanguagePython

StatusStable

Stars★ 90

Last UpdatedFeb 12, 2026