Title: SQL MCP Server Documentation - SQL MCP Server
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SQL
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Overview
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On-premises
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Azure
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What's new
Azure PortalDownload SQL Server
SQL MCP Server documentation
Enable AI agents to safely interact with SQL databases using Model Context Protocol. Built on Data API builder, SQL MCP Server provides deterministic, secure, and production-ready database operations for agentic applications.
Overview
Introduction to SQL MCP Server
Architecture
Data manipulation tools
Deploy
Deploy to Azure Container Apps
How-To Guide
Add descriptions to entities
Reference
Data API builder documentation
Concept
Model Context Protocol specification
Get started with SQL MCP Server
Deploy SQL MCP Server locally or to the cloud and connect it to your AI applications using these quickstart guides.
Visual Studio Code
.NET Aspire
Microsoft Foundry
Azure Container Apps
Core concepts
Understand how SQL MCP Server enables AI agents to interact with databases safely using Model Context Protocol and Data API builder's proven architecture.
Model Context Protocol (MCP)
Learn how MCP provides a standard way for AI agents to discover and call external tools with predictable inputs, outputs, and behavior.
Data manipulation tools
Explore the six DML tools that SQL MCP Server exposes to AI agents for typed CRUD operations with full RBAC support.
Data API builder
SQL MCP Server is built on Data API builder's entity abstraction layer, leveraging proven RBAC, caching, and telemetry capabilities.
SQL MCP Server is Microsoft's open-source solution for bringing AI agents into your data workflows. Built on Data API builder's proven entity abstraction, RBAC, and telemetry, SQL MCP Server provides a production-ready surface that works consistently across REST, GraphQL, and MCP.
Get started today with the Visual Studio Code quickstart or deploy to Azure Container Apps for production workloads.
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