azure-data-lake-storage-mcp-server-by-cdata

azure-data-lake-storage-mcp-server-by-cdata

3.2

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CData's Model Context Protocol (MCP) Server for Azure Data Lake Storage is a read-only server designed to allow LLMs to query live data from Azure Data Lake Storage using natural language.

The CData MCP Server for Azure Data Lake Storage is a specialized server that facilitates the interaction between large language models (LLMs) and Azure Data Lake Storage. By leveraging the CData JDBC Driver, this server exposes Azure Data Lake Storage as relational SQL models, enabling LLMs to access and query live data without the need for SQL knowledge. This server is particularly useful for applications that require real-time data retrieval and analysis, such as business intelligence and data-driven decision-making. The server is designed to be read-only, providing a secure and efficient way to access data while maintaining data integrity. It is compatible with various platforms and can be easily integrated into existing systems, making it a versatile tool for developers and data scientists.

Features

  • Read-only access to Azure Data Lake Storage
  • Integration with CData JDBC Driver for SQL model exposure
  • Natural language querying for LLMs
  • Simple MCP interface for data retrieval
  • Cross-platform compatibility

Tools

  1. azure_data_lake_storage_get_tables

    Retrieves a list of tables available in the data source.

  2. azure_data_lake_storage_get_columns

    Retrieves a list of columns for a specified table.

  3. azure_data_lake_storage_run_query

    Executes a SQL SELECT query.