Connects large language models to live Azure Data Catalog data for natural language querying.
Sponsored
This tool serves as a read-only Model Context Protocol (MCP) Server, specifically designed to integrate Azure Data Catalog with large language models (LLMs) such as Claude Desktop. It achieves this by wrapping CData JDBC Drivers, which expose Azure Data Catalog data as relational SQL models. The server then makes this data accessible via a simple MCP interface, empowering LLMs to retrieve live information and answer questions using natural language, eliminating the need for direct SQL interaction.
Key Features
01Connects LLMs to live data for natural language querying
02Enables read-only access to Azure Data Catalog data via MCP
030 GitHub stars
04Supports direct execution of SQL SELECT queries via the MCP interface
05Provides tools to retrieve table and column metadata
06Leverages CData JDBC Drivers for Azure Data Catalog connectivity
Use Cases
01Integrating Azure Data Catalog data into AI-powered data analysis and reporting workflows.
02Providing a simplified, SQL-free interface for AI clients to access and interact with complex data sources.
03Allowing large language models to query live Azure Data Catalog data using natural language.
