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Azure Data Lake Storage MCP Server by CData

@CDataSoftware

Repository

Basic information

Category

Data & Analytics

Transports

stdio

Author

CDataSoftware

Submitted by

Cameron Leblanc

About Azure Data Lake Storage 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 Azure Data Lake Storage (beta): https://www.cdata.com/download/download.aspx?sku=HDZK-V&type=beta

#azure#data-lake#mcp-server#cdata

Azure Data Lake Storage 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\\azure-data-lake-storage.prp"
      ]
    }
  }
}

Azure Data Lake Storage 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 Azure Data Lake Storage MCP Server by CData?

A read-only MCP server that lets LLMs like Claude Desktop query live Azure Data Lake Storage data using natural language. It wraps the CData JDBC Driver for Azure Data Lake Storage, which exposes the storage as relational SQL models.

How to use Azure Data Lake Storage MCP Server by CData?

Clone the repo, build with mvn clean install, download and license the CData JDBC Driver for Azure Data Lake Storage, configure a connection string, create a .prp file with connection details, and add the server to Claude Desktop’s claude_desktop_config.json. Run with java -jar CDataMCP-jar-with-dependencies.jar <path-to>.prp. The server uses stdio transport and must run on the same machine as the client.

Key features of Azure Data Lake Storage MCP Server by CData

  • Read-only access to Azure Data Lake Storage data
  • Exposes data as SQL tables via CData JDBC Driver
  • Tools: get_tables, get_columns, run_query (SELECT only)
  • Natural language querying — no SQL required from the user
  • Open source under MIT License

Use cases of Azure Data Lake Storage MCP Server by CData

  • Ask an LLM questions about stored data without writing SQL
  • Explore table schemas and column definitions interactively
  • Retrieve live data from Azure Data Lake Storage for AI-driven analysis
  • Quickly prototype data insights using conversational AI

Frequently asked questions

1

Is this server read-only?

Yes, the server explicitly states it is read-only. For full create, read, update, delete and action capabilities, use the free CData MCP Server for Azure Data Lake Storage (beta) linked in the README.

2

What runtime dependencies are required?

Java and the CData JDBC Driver for Azure Data Lake Storage must be installed and licensed. The driver JAR file path is specified in the `.prp` configuration.

3

What transport protocol does the server use?

It uses `stdio` transport, so the server must be run on the same machine as the MCP client (e.g., Claude Desktop).

4

Can I perform write or update operations?

No, this server only supports SELECT queries via the `run_query` tool. No INSERT, UPDATE, DELETE, or custom actions are available.

5

How do I authenticate to Azure Data Lake Storage?

The README instructs you to use the CData JDBC Driver’s connection string utility. If the data source uses OAuth, you will authenticate in your browser during the connection test.

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