# Kaggle Dataset Analyst

> Use this tool when you need to analyze and gain insights from CSV datasets, solving problems such as data quality issues and predictive modeling challenges. It provides an interface for uploading datasets and outputs interactive visualizations, statistical summaries, and trained machine learning models. Ideal for data scientists and analysts working with structured data, this tool streamlines exploratory data analysis and model development.

Canonical page: https://skillsregistry.net/skills/bert305-kaggle-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bert305-kaggle-mcp

## Description

Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ig63p9ygha)
- **Repository:** <https://github.com/Bert305/kaggle_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": "bert305-kaggle-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bert305-kaggle-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bert305-kaggle-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