This MCP server implementation, developed by Dana K. Williams, provides secure interaction with Microsoft SQL Server databases. Built with Python and leveraging libraries like mcp and pymssql, it offers a bridge between AI assistants and SQL Server data. The implementation focuses on security, with detailed guidance on creating restricted SQL logins, implementing row-level security, and following best practices for monitoring and auditing. It's particularly useful for organizations needing to integrate SQL Server data into AI workflows while maintaining strict security controls, enabling tasks like data analysis, reporting, and database management through AI interfaces while ensuring data protection and compliance.
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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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