MLflow MCP

What is MLflow MCP?

MLflow MCP is a Model Context Protocol server for MLflow, the open-source ML lifecycle platform. MLflow tracks experiments, packages code, manages models, and serves predictions — and now AI can help manage all of this through MCP.

Experiment Intelligence

AI models can query experiment results, compare runs across hyperparameter configurations, identify best-performing models, and help make deployment decisions based on metric analysis.

Model Registry Management

Navigate the model registry, compare model versions, track model lineage, and manage model lifecycle stages (Staging, Production, Archived) through AI conversations.

Configuration

{
  "mcpServers": {
    "mlflow": {
      "command": "npx",
      "args": ["mlflow-mcp"],
      "env": {
        "MLFLOW_TRACKING_URI": "http://localhost:5000"
      }
    }
  }
}

Use Cases

MLflow MCP serves data scientists tracking experiments, ML engineers managing model deployments, and teams needing AI-powered insights into their ML workflows.