SQL Server FAQs

Question 1

Can I use my own Large Language Model (LLM) for natural language to SQL conversion?

Accepted Answer

Yes, the `nl_to_sql` feature is LLM-agnostic. It generates a schema-aware prompt for your chosen LLM, then validates the LLM's generated SQL with its safety guard before execution.

Question 2

What are the main requirements to set up the SQL Server connector?

Accepted Answer

You need Python 3.10+, an ODBC Driver 17 or 18 for SQL Server, the `pyodbc` library (installed via `requirements.txt`), and an MCP-compatible client such as Claude Desktop.

Question 3

What is the SQL Server tool designed for?

Accepted Answer

It's an MCP server connecting Microsoft SQL Server databases to clients like Claude Desktop, enabling secure, natural-language data interaction and schema exploration without leaving the chat interface.

Question 4

How does this tool ensure data security?

Accepted Answer

It includes a robust safety guard that blocks DDL/DML write operations (e.g., DROP, INSERT, DELETE), dangerous SQL patterns, dynamic SQL, and external access, ensuring all interactions are read-only and safe.

Question 5

What key features does it offer for database interaction?

Accepted Answer

Users can execute read-only SQL queries and stored procedures, introspect the full database schema (tables, views, procedures), and convert natural language questions into executable SQL.

SQL Server

SQL Server

主要功能

使用案例

主要功能

使用案例