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HDFS MCP Server by CData

@CDataSoftware

Repository

Basic information

Category

Other

Transports

stdio

Author

CDataSoftware

Submitted by

Cameron Leblanc

About HDFS 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 HDFS (beta): https://www.cdata.com/download/download.aspx?sku=GWZK-V&type=beta

#hdfs#mcp#server#cdata

HDFS MCP Server by CData 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\\hdfs.prp"
      ]
    }
  }
}

HDFS MCP Server by CData tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is HDFS MCP Server by CData?

HDFS MCP Server by CData is a read-only Model Context Protocol server that allows LLMs like Claude Desktop to query live HDFS data using the CData JDBC Driver for HDFS, exposing HDFS as relational SQL models without requiring SQL.

How to use HDFS MCP Server by CData?

Clone the repository, build with Maven, download and license the CData JDBC Driver for HDFS, create a .prp file with connection properties, and add the server to Claude Desktop’s claude_desktop_config.json. Then run the client to interact with HDFS via natural language.

Key features of HDFS MCP Server by CData

  • Provides natural language querying of HDFS data
  • Functions as a read-only MCP interface
  • Uses CData JDBC Driver for relational access
  • Exposes tools for tables, columns, and SQL queries
  • Communicates via stdio transport

Use cases of HDFS MCP Server by CData

  • Querying HDFS data with natural language in AI clients
  • Retrieving live HDFS information without writing SQL
  • Exploring HDFS tables and columns programmatically
  • Integrating HDFS data into AI analysis workflows

Frequently asked questions

1

What data can I access?

Live HDFS data via the CData JDBC Driver for HDFS, exposed as relational tables.

2

Is the server read-only?

Yes, it is explicitly built as a read-only MCP server per the README.

3

What are the runtime requirements?

Java and Maven to build; the CData JDBC Driver for HDFS must be installed and licensed.

4

How does the server communicate?

It uses stdio transport, so it must run on the same machine as the client.

5

How do I configure the connection?

Create a `.prp` file with properties like `

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