# MCP Data Analyzer

> Use this tool when you need to analyze and visualize data from .xlsx and .csv files, solving problems related to data insight and trend identification. It takes in spreadsheet files as input and outputs various graphs and charts using matplotlib and plotly, enabling users to gain a deeper understanding of their data. Ideal for use cases requiring statistical analysis and data visualization, such as data-driven decision making and research.

Canonical page: https://skillsregistry.net/skills/ouchinikaeru-mcp-data-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/ouchinikaeru-mcp-data-analyzer

## Description

Enables loading and statistical analysis of .xlsx and .csv files with visualization capabilities using matplotlib and plotly to generate various graphs and charts.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hbpf016f2p)
- **Repository:** <https://github.com/OuchiniKaeru/mcp-data-analyzer>

## 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": "ouchinikaeru-mcp-data-analyzer"
    }
  }
}
```

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