Introducing the SQL MCP Server
Proposed session for SQLBits 2026TL; DR
This session shows how SQL MCP Server lets language models safely work with your company’s data without bypassing security or operational controls. You’ll see how an open source, enterprise-scale MCP server exposes governed access to SQL and other databases, and how the same high-scale engine used by Microsoft Fabric enables both developer productivity and production-ready agent workflows.
Session Details
Modern apps use language models, but how do those models safely interoperate with your company’s backend data without putting the business at risk? SQL MCP Server answers that question.
SQL MCP Server is Microsoft’s open source MCP server for secure access to SQL Server, Azure SQL, PostgreSQL, Cosmos DB, and MySQL, running in the cloud or on premises at enterprise scale. It provides a feature-rich database API designed to help models understand and work with your data while enforcing permissions, policies, and operational boundaries.
Built on the same high-scale engine that powers Microsoft Fabric’s own GraphQL API, SQL MCP Server is designed for both scale and developer productivity. With a rich inner loop and a cross-platform command line, it works just as well for enterprise workloads as it does for engineers innovating on the ground.
SQL MCP Server is Microsoft’s open source MCP server for secure access to SQL Server, Azure SQL, PostgreSQL, Cosmos DB, and MySQL, running in the cloud or on premises at enterprise scale. It provides a feature-rich database API designed to help models understand and work with your data while enforcing permissions, policies, and operational boundaries.
Built on the same high-scale engine that powers Microsoft Fabric’s own GraphQL API, SQL MCP Server is designed for both scale and developer productivity. With a rich inner loop and a cross-platform command line, it works just as well for enterprise workloads as it does for engineers innovating on the ground.
3 things you'll get out of this session
Understand how SQL MCP Server gives models safe, governed access to enterprise data.
See how one backend supports both traditional apps and agent-driven workflows.
Learn how to stand up, configure, and reason about MCP at production scale.
Speakers
Jerry Nixon's other proposed sessions for 2026
Modern Architecture 101 for New Engineers & Forgetful Architects - 2026
The AI Hiding in your Data - 2026
Jerry Nixon's previous sessions
Workflows of Highly Functional App & Data Engineering Teams
Explore best practices in enterprise data engineering, focusing on Schema Management, Standards Enforcement, Database Testing, & Automated Deployment. Navigate Microsoft's complex options to achieve change management, observability, & quality at scale. Goals: Master schema control, ensure engineering quality, & streamline delivery through automation.
A Deep Dive into DevOps Practices with Azure SQL
Explore the intricacies of DevOps practices tailored for Azure SQL in this demo-heavy session, highlighting both the inner and outer development loops. Embark on a journey through the essential principles of Database version control, Immutable Database Infrastructure, Schema Management, Testing, and Seamless CI/CD. Bid farewell to the notorious "But it worked on my computer!" dilemma by embracing robust DevOps practices, fostering trust and efficiency across your development cycles—from local environments to the expansive cloud. Navigate the array of Azure SQL tools for DevOps practices with potent command-line tools, and uncover seamless integration with industry-leading third-party tools such as GitHub Actions, Codespaces, Terraform, and extensions for popular IDEs like VS Code and Azure Data Studio.
A Deep Dive into Microsoft Fabric Data Warehouse
Deep Dive into Data Warehousing in Microsoft Fabric. Explore the intricacies of Microsoft Fabric Data Warehouse, unraveling its capabilities and demonstrating effective strategies for its utilization.