The MCP server is a Python-based implementation of the Model Context Protocol that provides controlled access to Microsoft SQL Server databases. It exposes MCP-compatible endpoints to list available tables, read data from a table as CSV, and execute arbitrary SQL queries via a standardized interface. Built with asyncio for asynchronous operation, it leverages environment-based configuration (python-dotenv) and a robust logging system, with connection pooling and management through pyodbc. Data validation is performed with Pydantic models, and the API is served through FastAPI, exposing resource listing, resource reading, and tool execution workflows. Resource listing returns table names with URIs like mssql://<table_name>/data and may include descriptions and MIME types; resource reading fetches the first 100 rows in CSV format with column headers. SQL execution supports both SELECT and modification queries, returning CSV results for SELECT and the affected row count for updates/inserts/deletes. Security features include environment-driven configuration, secure connection strings, input validation, and size limits on result sets. The solution is designed to work with the Claude Desktop ecosystem as well as standard MCP clients.