# Parquet MCP Server

> Use this tool when you need to efficiently manage and query large datasets stored in Parquet files, solving data storage and retrieval problems with features like CRUD operations, semantic search, and audit logging. It provides a robust interface for inputting queries and outputting results, enabling seamless data manipulation and analysis. Ideal for use cases requiring structured data storage and retrieval, such as data warehousing and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/markmhendrickson-mcp-server-parquet  
JSON: https://api.skillsregistry.net/v1/skills/markmhendrickson-mcp-server-parquet

## Description

Enables querying, modifying, and managing Parquet files with CRUD operations, semantic search, audit logging, and rollback capabilities for structured data storage.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iabtnlcep3)
- **Repository:** <https://github.com/markmhendrickson/mcp-server-parquet>

## 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": "markmhendrickson-mcp-server-parquet"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markmhendrickson-mcp-server-parquet` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markmhendrickson-mcp-server-parquet/pull`

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