# Dataset Explorer MCP Server

> Dataset Explorer MCP Server — khanarmaghanrasheed-18-mcp-dataset-explorer. Use this tool when you need to analyze and understand CSV datasets, as it provides a comprehensive overview, statistical summaries, and insights into data quality issues. It solves problems related to data exploration, preprocessing, and quality control, enabling informed decision-making and model development. The tool accepts CSV datasets as input and outputs detailed reports and visualizations, making it ideal for data scientists and analysts working with tabular data.

Canonical page: https://skillsregistry.net/skills/khanarmaghanrasheed-18-mcp-dataset-explorer  
JSON: https://api.skillsregistry.net/v1/skills/khanarmaghanrasheed-18-mcp-dataset-explorer

## Description

Enables AI clients to explore and analyze CSV datasets via tools for dataset overview, statistical summaries, missing value analysis, duplicate detection, correlation analysis, and outlier detection.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nz8unoffck)
- **Repository:** <https://github.com/khanarmaghanrasheed-18/MCP-Dataset-Explorer>

## 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": "khanarmaghanrasheed-18-mcp-dataset-explorer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khanarmaghanrasheed-18-mcp-dataset-explorer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khanarmaghanrasheed-18-mcp-dataset-explorer/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