# Feature Evaluation MCP Server

> Use this tool when you need to comprehensively evaluate and engineer features for classification datasets, and automate preprocessing tasks. It solves problems related to feature importance, correlation, and model evaluation, providing outputs through integrated visualization capabilities. Ideal for use cases requiring in-depth analysis of dataset features to inform machine learning model development.

Canonical page: https://skillsregistry.net/skills/jaivardhan1209-featureengineering  
JSON: https://api.skillsregistry.net/v1/skills/jaivardhan1209-featureengineering

## Description

Enables comprehensive feature engineering for classification datasets with automated preprocessing and 13 specialized analysis tools. Supports feature importance calculation, correlation analysis, recursive feature elimination, and model evaluation with integrated visualization capabilities.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l325s6jy9u)
- **Repository:** <https://github.com/jaivardhan1209/FeatureEngineering>

## 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": "jaivardhan1209-featureengineering"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaivardhan1209-featureengineering` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaivardhan1209-featureengineering/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