A comprehensive Model Context Protocol (MCP) server for interacting with SQL Server databases
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# SQL Server MCP Server [](https://www.python.org/downloads/) [](https://www.gnu.org/licenses/lgpl-3.0) [](https://modelcontextprotocol.io/) A comprehensive Model Context Protocol (MCP) server for interacting with SQL Server databases. This server provides AI assistants with secure, efficient access to SQL Server databases through standardized MCP tools and resources. ## ✨ Features - **🔗 Database Connection Management**: Secure connection pooling with Windows and SQL Server authentication - **📊 Query Execution**: Execute SQL queries with parameterized queries and multiple output formats - **🔍 Schema Inspection**: Retrieve detailed database schema information including tables, columns, indexes, and relationships - **📋 Data Retrieval**: Get table data with pagination, filtering, and sorting capabilities - **🖥️ CLI Interface**: Full command-line interface for all MCP capabilities - **🛡️ Security**: SQL injection prevention, secure authentication, and credential management - **⚡ Performance**: Connection pooling, query optimization, and performance monitoring - **📚 Full MCP Protocol Compliance**: Complete implementation of MCP protocol standards ## 🚀 Installation ### Prerequisites - Python 3.8 or higher - SQL Server instance (local or remote) - ODBC Driver 17 for SQL Server ### Install from Source ```bash git clone https://github.com/your-org/sqlserver-mcp-server.git cd sqlserver-mcp-server pip install -e . ``` ### Install Dependencies ```bash pip install -r requirements.txt ``` ## 🏃♂️ Quick Start ### Start MCP Server ```bash # Start the MCP server python -m src.mcp_tools # Or use the CLI entry point sqlserver-mcp server ``` ### Use CLI Interface ```bash # Connect to database sqlserver-mcp connect --server "localhost" --database "master"…
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