Last updated: 2026-09-26
AI2sql connects directly to your live database schema and converts natural-language descriptions into SQL across 10 dialects, from PostgreSQL to MongoDB. Its governed MCP gateway lets Claude, ChatGPT and Cursor run schema-aware, read-only queries with per-agent auditing, and Pro-tier plans can execute the generated query live instead of only printing it.
About AI2sql
AI2sql is an AI-powered SQL query generator founded in 2023 by solo entrepreneur Mustafa Ergisi, a former data analyst from Istanbul. The platform converts natural language descriptions into production-ready SQL queries, making database access accessible to non-technical users. It supports SQL dialects including MySQL, PostgreSQL, SQL Server, Oracle, SQLite, BigQuery, Snowflake, and Redshift, with schema-aware generation that understands your specific database structure.
The core mechanism uses Large Language Models combined with direct database schema connectivity. Rather than generating generic SQL, AI2sql connects to your actual database, learns table names, column definitions, and relationships, then generates queries tailored to your specific schema. The platform achieves 90% accuracy in initial query generation and includes iterative multi-turn refinement allowing users to add conditions, optimizations, and specific outputs through follow-up requests.
Primary use cases include non-technical users querying databases without SQL knowledge, developers accelerating SQL generation in data analysis workflows, business analysts running ad-hoc queries for reports and dashboards, and teams using multiple database engines needing a unified interface. The tool has generated over 75,000 SQL queries and helped users save more than 25,000 hours compared to manual query writing.
The company is bootstrapped with no external funding and reached approximately $100K ARR in its first year of operation, keeping the product priced for individuals and small teams rather than enterprise budgets. Free access is limited to a short evaluation window before a paid plan is required.
Pricing
Every plan starts with a 7-day free trial that requires a card on file: AI2sql charges $0 today and bills automatically when the trial ends unless you cancel first. Start is $9/month for 100 SQL queries plus basic generation, explanation and syntax fixes. Pro is $19/month for unlimited queries, the advanced model, query optimization, your own live database connection, the MCP gateway for Claude, ChatGPT and Cursor, priority support and the desktop app.
Team is $39/month for 5 seats, a shared query library, role-based access control and advanced analytics. Annual billing saves 25% on every recurring plan. A one-time $29 Lifetime plan skips the subscription for 500 AI queries a month across all supported databases, full access, no recurring charge.
| Tier | Monthly price | What it includes |
|---|---|---|
| Start | $9/mo | |
| Pro | $19/mo | |
| Team | $39/mo | |
| Lifetime | Custom |
Feature Comparison by Tier
| Feature | Start | Pro | Team |
|---|---|---|---|
| Price | $9/mo | $19/mo | $39/mo |
| SQL queries per month | 100/month | Unlimited | Unlimited |
| SQL generation, explain, fix syntax | ✓ | ✓ | ✓ |
| Advanced AI model | ✗ | ✓ | ✓ |
| Query optimization | ✗ | ✓ | ✓ |
| Connect your own database | ✗ | ✓ | ✓ |
| MCP gateway (Claude, ChatGPT, Cursor) | ✗ | ✓ | ✓ |
| Desktop app (Windows & Mac) | ✗ | ✓ | ✓ |
| Priority support | ✗ | ✓ | ✓ |
| Users included | 1 | 1 | 5 |
| Shared query library & RBAC | ✗ | ✗ | ✓ |
| Advanced analytics | ✗ | ✗ | ✓ |
Key Features
- Schema-Aware Natural Language to SQL: Connects directly to your database schema and generates SQL queries from plain English by understanding your specific table structures and relationships.
- 10 Database Dialects Supported: Covers PostgreSQL, MySQL, SQL Server, Oracle, BigQuery, Snowflake, Redshift, MongoDB, SQLite and Firebird in a single unified interface.
- SQL Code Review Tools: Includes a SQL Query Fixer for error correction, a SQL Validator for syntax checking, and a SQL Explainer to understand existing or pasted SQL code in plain English.
- Query Optimization and Performance Tuning: Automatically detects performance issues in generated queries and suggests optimizations including indexing recommendations and query rewrites.
- Multi-Turn Refinement: Iteratively improve queries by adding conditions, filters, sorting, and specific outputs through follow-up natural language requests without rewriting from scratch.
- Governed MCP Gateway for AI Agents: A dedicated MCP endpoint lets Claude, ChatGPT and Cursor call AI2sql's schema-aware generator directly, with per-agent API key scoping and full query auditing.
- Live Read-Only Query Execution: Pro and Team plans run the generated SQL against a live, read-only database connection and return results inline instead of only printing a query to copy elsewhere.
Pros
- Schema-aware generation reads your specific database structure rather than guessing at table names, and multi-turn refinement lets you iterate without starting a query over.
- A single interface covers everything from PostgreSQL to MongoDB, so teams don't need to learn each engine's syntax quirks separately.
- Bootstrapped and profitable without outside funding, which keeps pricing well under what enterprise BI platforms charge for comparable query generation.
- The governed MCP endpoint gives agents like Claude and ChatGPT scoped, audited database access without a custom integration, a genuine differentiator versus lighter text-to-SQL tools.
Cons
- Generated queries often need manual revision for edge cases and complex requirements; users report not every query is production-ready without review.
- Query execution is read-only at the gateway level, so any write, DDL or multi-statement operation still needs a separate database client.
- Struggles with ambiguous or highly complex multi-step queries involving subqueries and window functions, making it a better fit for straightforward analytics.
- No published security or compliance page, and no stated data-retention or model-training policy beyond a general privacy policy, which can stall procurement-driven enterprise buyers.
Frequently Asked Questions
How much does AI2sql cost per month?
Start is $9/month for 100 queries, Pro is $19/month with unlimited queries and the MCP gateway, and Team is $39/month for 5 seats with role-based access control. Annual billing saves 25%, and a one-time $29 Lifetime plan covers 500 AI queries a month with no subscription.
Is there a free version of AI2sql?
No ongoing free plan exists. Every plan starts with a 7-day trial, and a card is required up front even though nothing is charged until that week is up. The closest thing to a low, one-time cost is the $29 Lifetime plan.
What are AI2sql's closest alternatives?
BlazeSQL covers a similar plain-English-to-SQL workflow on fewer database platforms. Formulabot serves the same non-technical audience for spreadsheet formulas instead of live databases. QueryPie AIP is the enterprise alternative, an MCP gateway built around per-agent access control and data-loss prevention rather than individual pricing.
Can AI2sql actually run the SQL it writes, or does it just generate the query?
On the Pro plan and above, yes: AI2sql can connect to your live database and run the generated query through a read-only connection, returning results inline. It cannot execute writes, DDL or multi-statement operations; those still need a separate database client.
What does it take to start using AI2sql?
Starting the trial at ai2sql.io needs a card on file, even though $0 is charged that day. From there, connect a database such as PostgreSQL or MySQL and describe the query you want in plain English, and AI2sql writes the SQL against your actual schema.
Top Alternatives
- BlazeSQL: AI2sql covers more database dialects and adds a built-in query fixer and validator on top of generation. BlazeSQL counters with production references at companies like Uber and Salesforce, a track record worth weighing if that lighter tool already covers your stack.
- Formulabot: Actual SQL against a real database is AI2sql's job. Formulabot instead handles spreadsheet formulas, the better fit for teams working inside Excel or Sheets rather than querying a database directly.
- QueryPie AIP: AI2sql fits an individual or small team that wants an affordable natural-language SQL generator with its own governed MCP gateway bolted on. QueryPie AIP is built for the opposite end: an enterprise database-security team that needs per-agent access control and data-loss prevention across many connected tools, at enterprise pricing AI2sql doesn't try to match.
HokAI guides covering AI2sql
- AI2sql Calls Itself Agent Infrastructure. The Price Tag Disagrees.: AI2sql calls itself agent infrastructure, but its pricing page sells flat-rate chat plans. Here is what the $9-$39 tiers actually buy, and who they leave out.
- AI2sql vs BlazeSQL: Which Should You Use in 2026?: AI2sql costs $9-39 a month; BlazeSQL's pricing now starts at $150, verified live. Compare dialects, dashboards, privacy and accuracy before picking a SQL tool.
- Best AI Analytics Platforms in 2026: ThoughtSpot, Sisense, Qlik, Databricks and Tellius Compared: ThoughtSpot, Sisense, Qlik, Databricks and Tellius re-checked on 18 Oct 2026: usage vs per-user pricing, data-volume tiers, and who should skip all five.
- Best AI for Data Analysis and Report Writing in 2026: Tellius and Vibrant AI write the report; BlazeSQL just answers the query. Eight AI tools compared on cost, data handling and who should skip this category.
- The Best AI Tools for Data Science in 2026: Two Different Buys, Not One List: Data science and AI analytics tools get lumped into one list, but they solve different problems. See the real split, six vetted picks, and 2026 pricing.