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 seamlessly with your database

PostgreSQL
SQL Server
Azure SQL
26+
AI Modules
10x
Faster Development
99.9%
Uptime SLA
5min
Setup Time

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.

SQL Monitor

Real-Time Database Monitoring

SQL Orchestrate

Unified Job & Check Management

SQL Optimize

AI-Driven Performance

SQL Centralize

Multi-Tier Replication

SQL Migrate

Database-First Migrations

SQL Convert

Cross-Platform Migration

SQL Containerize

Docker & Kubernetes Migration

SQL Version

Git for Your Database

SQL Code

Swagger for Databases

SQL Writer

AI DDL & SP Generation

SSMS Plugin

AI in Your IDE

SQL Test

AI-Powered DB Testing

SQL Compare

AI Schema Comparison

SQL CLI

Command-Line Power Tools

SQL Anonymize

Secure Clean Room Data

SQL Simulate

Synthetic Data Generation

SQL Connect

Data Layer Generation

SQL Import

Intelligent Data Ingestion

SQL Send

Database Messaging

SQL Receive

Secure Inbound Gateway

SQL Comply

SOC2, HIPAA, GDPR & More

SQL Audit

Tamper-Proof Audit Logs

SQL Encrypt

Automated Key Management

SQL Tenant

Multi-Tenant RLS

SQL Standardize

Naming Convention Enforcement

SQL Agent

Autonomous AI DBA

SQL Converse

Bidirectional AI Bridge

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
Free for individual developers

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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