Now with Claude MCP integration

Database Development,
Powered by AI

The complete lifecycle platform for SQL Server and PostgreSQL—from schema analysis to deployment. AI that understands your database the way you do.

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Works with your database

PostgreSQL
SQL Server

Most AI tools help you escape your database.
We help you master it.

ORM-First Approach

  • ✗Generate migrations from code
  • ✗Abstract away SQL
  • ✗Treat procedures as legacy
  • ✗Single database focus
  • ✗Chat-based interface

SQL2.AI Approach

  • ✓Generate database-native DDL
  • ✓Optimize and enhance SQL
  • ✓Procedures as first-class citizens
  • ✓SQL Server ↔ PostgreSQL bridging
  • ✓Workflow integration (CLI, MCP, IDE)
“Data models drive application objects, not the reverse.”

— The SQL2.AI Philosophy

8 Integrated Modules

One Platform, Complete Coverage

SQL2.AI brings AI-powered sophistication to every stage of database development.

[object Object]

SQL Orchestrator

Unified Monitoring & Compliance

[object Object]

SQL Migrator

Database-First Migrations

[object Object]

SQL Version

Git for Your Database

[object Object]

SQL Code

Swagger for Databases

[object Object]

SQL Writer

AI DDL & SP Generation

[object Object]

SSMS Plugin

AI in Your IDE

[object Object]

SQL Optimize

AI-Driven Performance

[object Object]

SQL Comply

SOC2, HIPAA, GDPR & More

Explore all features

The Complete Database Development Lifecycle

From initial analysis to production deployment—SQL2.AI covers every stage of database development with AI-powered insights.

Analyze

Deep schema analysis with AI-powered pattern detection

  • Schema structure analysis
  • Dependency mapping
  • Anti-pattern detection
  • Compatibility checking

One Platform. Two Databases.
Zero Compromises.

Translate between SQL Server and PostgreSQL with full context preservation— transactions, isolation levels, and semantics intact.

PostgreSQLSource or Target
SQL ServerSource or Target
Data Types
IDENTITY(1,1)→SERIAL
Queries
TOP 10→LIMIT 10
Operators
'+' concat→'||' concat

What We Preserve

Transaction semanticsIsolation levelsLock orderingConstraint behaviorIndex strategy

Works Where You Work

Integrate SQL2.AI into your existing workflow—CLI, MCP for Claude, IDE extensions, and CI/CD pipelines.

Command Line

sql2ai
$sql2ai analyze --connection postgres://localhost/mydb
✓ Analyzing schema... ✓ Found 24 tables, 156 columns ✓ Detected 3 anti-patterns ✓ 2 missing index opportunities Report saved to ./analysis-report.json
$sql2ai optimize --file slow-query.sql
Original: 3.2s average execution Optimized: 0.08s average execution Improvement: 97.5% faster Suggestions: 1. Added covering index 2. Converted cursor to set-based 3. Removed implicit conversion

Claude MCP Integration

You

Analyze the Orders table and suggest indexes for our slow queries

AI

I've analyzed the Orders table using SQL2.AI. Here are my findings:

  • 1.Add covering index on (CustomerId, OrderDate) INCLUDE (Total)
  • 2.Remove duplicate index IX_Orders_Date
  • 3.Consider filtered index for Status = 'Pending'

Also integrates with

VS Code
GitHub Actions
Azure DevOps
SSMS

Plans for Every Team

$0
Free
$29
Professional
$99
Team
Custom
Enterprise
See full pricing details →

Ready to Master Your Database?

Start optimizing your SQL Server and PostgreSQL databases with AI-powered insights. Free for individual developers.

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No credit card required • Free for individual developers