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Parquet MCP Server by CData

@CDataSoftware

Repository

About Parquet MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for Parquet (beta)](https://www.cdata.com/download/download.aspx?sku=HIZK-V&type=beta).

#parquet#mcp-server#data-access

Basic information

Category

Data & Analytics

Transports

stdio

Publisher

CDataSoftware

Submitted by

Cameron Leblanc

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\parquet.prp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Parquet MCP Server by CData?

Parquet MCP Server by CData is a read-only Model Context Protocol server that lets LLMs like Claude Desktop query Parquet data using natural language. It wraps the CData JDBC Driver for Parquet to expose Parquet files as relational SQL models.

How to use Parquet MCP Server by CData?

Clone the repository, build with Maven, then install and license the CData JDBC Driver for Parquet. Configure a JDBC connection string using the driver’s utility, create a .prp file with connection properties, and either add the server to your Claude Desktop config or run it independently with java -jar CDataMCP-jar-with-dependencies.jar <path-to-prp>.

Key features of Parquet MCP Server by CData

  • Read-only querying of Parquet data via natural language.
  • Exposes Parquet files as relational tables using JDBC.
  • Provides tools: get_tables, get_columns, and run_query.
  • Uses stdio transport for local MCP clients.
  • Supports custom table selection through configuration.
  • Licensed under MIT.

Use cases of Parquet MCP Server by CData

  • Ask an LLM to correlate fields in Parquet data (e.g., “What is the correlation between my closed won

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