# kaggle-mcp

> Use this tool when you need to streamline your data science workflow by searching and downloading datasets from Kaggle, or generating exploratory data analysis (EDA) notebooks with ease. It solves problems of data discovery and EDA initialization, saving time and effort for data scientists. The tool takes dataset search queries and prompt inputs, and outputs downloaded datasets and generated EDA notebooks.

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

## Description

It interacts with the Kaggle API to provide tools for searching and downloading datasets, and a prompt for generating EDA notebooks.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **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/arwswog1el)
- **Repository:** <https://github.com/arrismo/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": "arrismo-kaggle-mcp"
    }
  }
}
```

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