# MLflow MCP Server

> Use this tool when you need to interact with MLflow tracking servers using natural language, enabling you to query experiments, analyze runs, and manage models. It solves problems such as model management, experiment tracking, and metric analysis, providing inputs like natural language queries and outputs like experiment data and model metrics. Ideal for use cases where large language models (LLMs) need to integrate with MLflow for streamlined model development and deployment.

Canonical page: https://skillsregistry.net/skills/kkruglik-mlflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kkruglik-mlflow-mcp

## Description

A Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p0yyi9n29z)
- **Repository:** <https://github.com/kkruglik/mlflow-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kkruglik-mlflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kkruglik-mlflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kkruglik-mlflow-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt