SQL database MCP

MCP server for SQL databases: PostgreSQL, MySQL, and SQL Server

Conexor.io turns SQL databases into governed MCP servers so AI clients can query approved data through read-only, auditable tools instead of brittle custom APIs.

How a SQL database MCP server works

1

Connect a database

Add PostgreSQL, MySQL, SQL Server, or another supported SQL source in Conexor.

2

Discover schema

Conexor maps tables and columns into tool context AI clients can understand.

3

Expose MCP tools

The AI client calls an MCP endpoint rather than connecting directly to the database.

4

Execute controlled queries

Read-only permissions, scoped access, and logs keep the database access governed.

Why SQL databases are a strong MCP use case

Most business questions already have answers in SQL databases. MCP creates a standard interface for AI assistants to request those answers without a new API for every table.

Conexor focuses on making that interface practical for teams: secure connection handling, schema context, client compatibility, and operational logging.

MCP does not remove database governance

MCP is the protocol layer. It still needs permissions, keys, audit trails, and a platform that understands how database access should work in production.

That is why Conexor sits between AI clients and SQL databases rather than encouraging direct credential sharing.

PostgreSQL

Expose approved PostgreSQL queries to ChatGPT, Claude, Cursor, and internal agents.

MySQL

Use MySQL data in AI workflows without exporting spreadsheets or building one-off scripts.

SQL Server

Bring SQL Server and Azure SQL-style data into AI workflows through a controlled tool boundary.

REST APIs

Use the same AI-native access pattern beyond relational databases where supported.

FAQ

What is an MCP server for SQL?

It is a server that exposes SQL database capabilities to AI clients through the Model Context Protocol.

Can one MCP layer support multiple databases?

Yes. Conexor is designed to manage multiple database connections and expose them through a common platform.

Is this the same as text-to-SQL?

Text-to-SQL is part of the user experience. MCP is the integration protocol that lets AI clients call approved database tools.

Start with a safe database connection

Create a Conexor workspace, connect one database, and test AI-native read-only access without building an integration layer.

Get Started Free →

ChatGPT + PostgreSQL

PostgreSQL setup guide

ChatGPT + MySQL

MySQL setup guide

ChatGPT + SQL Server

SQL Server setup guide

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