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Azure Data Lake Storage MCP Server by CData

@CDataSoftware

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

CDataSoftware

提交者

Cameron Leblanc

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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