This MSSQL MCP server, created by Jexin Sam, enables secure interaction between AI assistants and Microsoft SQL Server databases. Built with Python and leveraging the Model Context Protocol, it provides a controlled interface for listing tables, reading data, and executing SQL queries. The implementation focuses on safety and structure, offering a standardized way to explore and analyze MSSQL databases. It's particularly useful for applications requiring AI-driven database operations, enabling use cases such as automated data analysis, dynamic reporting, and intelligent database exploration without direct exposure to SQL Server complexities.
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This MCP server may use standard commands or have its functionality documented in the README. Check the Setup or README tabs for more information.
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