# data-explore

> Use this tool when you need to analyze and explore datasets to gain insights and understand data distributions. The data-explore tool solves problems related to data preprocessing, statistical analysis, and data quality assessment, accepting CSV files as input and producing summaries, correlations, and statistical test results as output. It is ideal for use cases where LLM clients require direct analysis of dataset characteristics and relationships.

Canonical page: https://skillsregistry.net/skills/mingwei2-mcp-data-explore  
JSON: https://api.skillsregistry.net/v1/skills/mingwei2-mcp-data-explore

## Description

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aaq7disd3j)
- **Repository:** <https://github.com/Mingwei2/mcp-data-explore>

## 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": "mingwei2-mcp-data-explore"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mingwei2-mcp-data-explore` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mingwei2-mcp-data-explore/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