SQL MCP Server

The Brief

Build an open-source MCP server that lets AI models query multiple SQL databases through one unified, type-safe interface.

The Challenge

AI applications that need database access face a fragmented landscape: every SQL platform has its own connector, and wiring each one into an AI system is repetitive and error-prone.

Without a standard interface, giving a model safe, structured access to SQLite, MySQL, PostgreSQL, and SQL Server meant maintaining separate integrations for each engine.

Our Approach

We built a Model Context Protocol server in TypeScript that exposes SQL connectivity, query execution, and schema inspection across four database platforms through a single standardised interface.

Connection lifecycle, parameterised queries, and schema introspection are handled uniformly, so an AI model works the same way regardless of the underlying database.

• Multi-database support: SQLite, MySQL, PostgreSQL, and SQL Server
• Connection lifecycle management (create, manage, disconnect)
• Parameterised query execution with error handling
• Table and column schema inspection
• Type-safe TypeScript development experience

Scope of Work

• ▸MCP server implementation in TypeScript
• ▸Adapters for four SQL platforms
• ▸Parameterised query and error-handling layer
• ▸Schema inspection tools
• ▸Node.js 18+ package

The Outcome

The server gives AI-powered applications one standardised, type-safe way to query heterogeneous SQL databases, removing the need for bespoke connectors per platform.

Developers can plug Claude or other models straight into their data across four database engines through a single protocol.

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