# MCP4Parquet

> MCP4Parquet — miguelazevedohs-mcp4parquet. Use this tool when you need to efficiently manage and analyze large datasets stored in Parquet files, solving data processing and querying problems. It provides a Java-based server with DuckDB integration and a Python-based client, accepting Parquet files as input and outputting queried data. Ideal for use cases involving big data analytics, data science, and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/miguelazevedohs-mcp4parquet  
JSON: https://api.skillsregistry.net/v1/skills/miguelazevedohs-mcp4parquet

## Description

MCP Server with access to Parquet files (Java + DuckDB) + MCP Client (Python)

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/MiguelAzevedoHS/MCP4Parquet)

## 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": "miguelazevedohs-mcp4parquet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miguelazevedohs-mcp4parquet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miguelazevedohs-mcp4parquet/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