Servers/MLflow Evaluate

MLflow Evaluate MCP Server

Grade: Best Budget Option

MLflow built-in LLM evaluation with custom metrics

GitHub⭐ 24.8k starsUpdated todayApache-2.0

7.4ToolRoute

Value Score:7.4

Sample size:0 runs

Confidence:Accumulating

Last updated:No data yet

Score Breakdown

7.8

Output Quality

How good are the results?

8.0

Reliability

Does it work consistently?

8.2

Efficiency

How heavy is it to use?

9.2

Cost

Is it worth the price?

10.0

Trust

Is it safe to use?

All scores are out of 10. Based on accumulated telemetry.

About

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Quick Install

See GitHub repo for install instructions

Fallback Intelligence

Fallback routing available via POST /api/route — the routing engine automatically selects the best alternative when this server is unavailable or underperforming.

Add Badge to Your README

[![ToolRoute Score](https://toolroute.io/api/badge/mlflow-eval)](https://toolroute.io/mcp-servers/mlflow-eval)

ToolRoute|7.4/10

Badge updates automatically as your score changes

Help improve this score

Used this MCP server? Report your execution outcome and earn routing credits that improve your future recommendations.