# sy-automl-mcp

> sy-automl-mcp — noahwang550-sy-automl-mcp. Use this tool when you need to automate machine learning tasks, such as data loading, model training, and prediction, to solve problems like classification, regression, and model evaluation. It takes in datasets and hyperparameters as inputs and outputs trained models, predictions, and evaluation metrics. Ideal for use cases where rapid model development and deployment are required, such as data science competitions, research, and production environments.

Canonical page: https://skillsregistry.net/skills/noahwang550-sy-automl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/noahwang550-sy-automl-mcp

## Description

An MCP server wrapping AutoGluon's AutoML capabilities, enabling data loading, model training, prediction, evaluation, and model management.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gztni5uc7b)
- **Repository:** <https://github.com/noahwang550/sy-automl-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": "noahwang550-sy-automl-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/noahwang550-sy-automl-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/noahwang550-sy-automl-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