SQL MCP Server: Bringing AI Agents to Your SQL Data

Microsoft Developer explains how SQL MCP Server enables AI tools to interact with SQL data safely by exposing a controlled, typed surface area rather than granting agents direct access to raw SQL.

Overview

What SQL MCP Server is

• SQL MCP Server is presented as a way to connect AI tools (including GitHub Copilot) to SQL data sources.
• It is built on Data API Builder (DAB).
• It uses the Model Context Protocol (MCP) to provide a standardized bridge between AI tools and data.

Supported SQL data targets

The description calls out these backends:

• SQL Server
• Azure SQL
• Fabric SQL Database (Microsoft Fabric)

How access is governed

The video description emphasizes a controlled exposure model:

• You choose what is exposed to the AI tool:
  • Tables
  • Views
  • Stored procedures
• Access is mediated through a typed layer.
• Controls are RBAC-enforced (role-based access control).
• The goal is for agents to query through this layer without touching raw SQL.

What the video focuses on

• How SQL MCP Server works “under the hood” (at a conceptual/architecture level, per the description)
• The security controls relevant to database and platform owners
• Positioning existing SQL skills as the foundation for enabling AI-on-data scenarios in a governed way