Overview
What is MCP SQL Server?
MCP SQL Server is a FastMCP server that exposes Microsoft SQL Server database operations through a conversational AI interface, allowing users to query and manipulate data using natural language.
How to use MCP SQL Server?
Install Python dependencies (pip install pyodbc asyncio fastmcp), ensure Microsoft SQL Server and ODBC Driver 17 for SQL Server are available, then configure the connection parameters (SERVER and DATABASE) in the script. Run the server with python mcp_sql_server.py.
Key features of MCP SQL Server
- Execute SQL queries and view results
- List available tables in the database
- Describe table structure with column names and data types
- Execute INSERT, UPDATE, DELETE operations
- List all ODBC drivers on the system
- Display database information and server version
Use cases of MCP SQL Server
- Interact with SQL Server databases through a conversational AI interface
- Quickly explore database schema without manual SQL queries
- Perform CRUD operations via natural language instructions
- Retrieve server and database metadata for administration
FAQ from MCP SQL Server
What are the system requirements for MCP SQL Server?
Python 3.7+, pyodbc, asyncio, FastMCP, Microsoft SQL Server, and ODBC Driver 17 for SQL Server.
How does MCP SQL Server handle database connections?
The server uses Windows Authentication ("Trusted_Connection=yes") and manages the connection via a lifecycle context manager that handles setup and teardown.
What should I do if I get a connection error?
Verify the SQL Server instance name, ensure the server is running, and confirm that ODBC Driver 17 for SQL Server is installed.
Does MCP SQL Server support any authentication besides Windows Authentication?
The README only documents Windows Authentication; no other authentication methods are mentioned.
How does MCP SQL Server prevent blocking during database operations?
Database operations run in a separate thread using asyncio.get_event_loop().run_in_executor() to avoid blocking the main event loop.
