# mcp-server-scikit-learn

> Use this tool when you need to interact with Scikit-learn models and datasets using natural language, enabling efficient training, evaluation, and model management. It solves problems related to model deployment, hyperparameter tuning, and performance evaluation, providing a standardized interface for inputs like datasets and model configurations, and outputs like trained models and evaluation metrics. Ideal for data scientists and developers seeking to streamline their machine learning workflows through intuitive natural language interactions.

Canonical page: https://skillsregistry.net/skills/shibuiwilliam-mcp-server-scikit-learn  
JSON: https://api.skillsregistry.net/v1/skills/shibuiwilliam-mcp-server-scikit-learn

## Description

Provides a standardized interface for interacting with Scikit-learn models and datasets, enabling training, evaluation, and model management through natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g6rnn6jpme)
- **Repository:** <https://github.com/shibuiwilliam/mcp-server-scikit-learn>

## 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": "shibuiwilliam-mcp-server-scikit-learn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shibuiwilliam-mcp-server-scikit-learn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shibuiwilliam-mcp-server-scikit-learn/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