# Data Explorer

> Use this tool when you need to analyze and visualize data, or perform statistical analysis on uploaded datasets. The Data Explorer solves problems related to interactive data exploration, enabling users to generate visualizations and explore data properties without switching contexts. It takes in datasets as input and produces visualizations and statistical analysis as output, making it ideal for use in data science and analysis tasks within Claude Desktop.

Canonical page: https://skillsregistry.net/skills/tofunori-data-explorer  
JSON: https://api.skillsregistry.net/v1/skills/tofunori-data-explorer

## Description

Claude MCP Data Explorer is a dual-implementation server (Python and TypeScript) that enables AI assistants to perform data analysis and visualization tasks. The server integrates with popular data science libraries including pandas, scikit-learn, matplotlib, and seaborn, allowing users to upload datasets, explore data properties, generate visualizations, and perform statistical analysis directly within Claude Desktop. The implementation includes setup scripts for both Python and Node.js environments, automatically configuring Claude Desktop to recognize the server, making it ideal for data scientists and analysts who want to leverage Claude's capabilities for interactive data exploration without switching contexts.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tofunori-data-explorer)
- **Repository:** <https://github.com/tofunori/claude-mcp-data-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": "tofunori-data-explorer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tofunori-data-explorer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tofunori-data-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