Azure Data Lake Storage MCP Server by CData

Created By
CDataSoftwarea year ago
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
Overview

What is Azure Data Lake Storage MCP Server by CData?

This project builds a read-only Model Context Protocol (MCP) server for Azure Data Lake Storage, allowing LLMs to query live data without needing SQL.

How to use the Azure Data Lake Storage MCP Server?

To use the server, clone the repository, build it, install the CData JDBC Driver, configure your connection, and run the server with the appropriate configuration file.

Key features of the Azure Data Lake Storage MCP Server?

  • Provides a read-only interface for querying Azure Data Lake Storage data.
  • Allows natural language queries without SQL.
  • Integrates with Claude Desktop for enhanced data interaction.

Use cases of the Azure Data Lake Storage MCP Server?

  1. Querying live data from Azure Data Lake Storage using natural language.
  2. Integrating with AI clients for data analysis and reporting.
  3. Simplifying data access for non-technical users.

FAQ from Azure Data Lake Storage MCP Server?

  • Can I write data using this server?

No, this server is read-only. For write capabilities, use the full CData MCP Server.

  • Is there a trial version available?

Yes, a trial version of the CData JDBC Driver is available for download.

  • What types of data sources are supported?

The server supports various data sources, including Salesforce, Azure SQL, and many more.

Server Config

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\azure-data-lake-storage.prp"
      ]
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
CDataSoftware
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