ai2sql
AI2SQL is an AI-powered SQL assistant that generates, explains, optimizes, fixes, formats and runs SQL against your live database schema, with read-only, audited connections and multi-database support.
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Quick Overview
Best for: Developer Tools
What it does
Developer Tools software for decision-makers comparing workflow fit and alternatives.
Best fit
Developer Tools
Pricing snapshot
Freemium from $9 per month or $7/mo billed annually
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ai2sql
AI2SQL is an AI-powered SQL assistant designed to let users describe queries in plain English and receive correct, dialect-specific SQL against their live schema. It connects to many databases (PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Redshift, MongoDB, SQLite, Firebird), builds a semantic layer from the schema, and returns generated SQL, explanations, optimizations, fixes and formatted queries. The product emphasizes safety and governance: connections are read-only by default, statements are classified and dangerous writes or DDL are blocked before they reach the database, and every query is logged, metered and auditable.
AI-powered tool to generate, optimize, and understand SQL queries easily.
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Claim this listing for $29Key Features
Text-to-SQL generation
Convert natural-language descriptions into SQL that uses your real table and column names and the correct dialect for the connected database.
Explain SQL
Provide plain-language walkthroughs of existing queries, clause by clause, using the real schema and query plan to build trust before execution.
Optimize SQL
Rewrite slow queries with reasoning about join/filter placement and missing indexes to improve performance.
Fix SQL errors
Correct syntax errors, dialect mismatches and wrong column names with explanations of what failed.
Format SQL
Consistent casing, indentation and line breaks to make queries readable before committing or PRs.
Run queries against live databases
Execute generated SQL on a read-only connection and return rows without leaving the page; execution is audited and metered.
Schema-aware semantic layer
Builds a semantic layer from your schema (tables, joins and business terms) so generated SQL is correct on your data, not a generic example.
Connectors & multi-database support
Connect read-only credentials for PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Amazon Redshift, MongoDB, SQLite and Firebird; desktop connector supports local/private addresses.
Desktop Connector
A local connector (Windows, macOS, Linux) lets the assistant run against databases that only listen on localhost or internal hostnames; credentials never leave the machine.
Gateway & agent MCP endpoint
A governed MCP endpoint and REST API allow AI agents (Cursor, Claude, ChatGPT in developer mode or custom agents) to call run_query; keys are scoped per agent, rate-limited, logged and revocable.
Safety & governance
Read-only enforcement, sqlGuard classification blocking writes and DDL, encrypted credentials, query logging and revocable keys.
Query library & team features
Shared query library, role-based access control, execution priority and analytics for teams (Team plan).
Pricing
Free tier: 100 queries, no credit card required (site also notes every paid plan includes a 3-day free trial and a card is required to start the trial).
Start
$9 per month or $7/mo billed annually- 100 SQL queries / month
- Basic SQL generation
- Explain SQL queries
- Fix syntax errors
Pro
$19 per month or $14/mo billed annually- Unlimited SQL queries
- Advanced AI model
- Query optimization & explanation
- Database connectors
Team
$39 per month or $29/mo billed annually- Everything in Pro
- 5 users included
- Shared query library
- Role-based access control
Use Cases
Data analyst
Ask in English and get queries that match real column names and joins, then run and inspect rows without leaving the page.
Backend developer
Paste a working but slow query to get explanations, optimized rewrites and fixes for dialect issues.
Data engineer
Manage queries across multiple dialects and databases from one interface, using connectors for a range of systems.
AI agents
Let governed AI agents query databases through the MCP endpoint without sharing raw credentials; calls are metered, logged and scoped per agent.
Learning SQL
Get generated queries with explanations to learn why a query works and speed up SQL learning.
Integrations
Database connectors
PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Amazon Redshift, MongoDB, SQLite and Firebird support via read-only connections.
Desktop Connector
Local connector for Windows, macOS and Linux to access databases on localhost or private addresses; credentials do not leave the machine.
MCP & REST API
A governed MCP endpoint and REST API let agents like Cursor, Claude and ChatGPT (developer mode) or custom agents run queries with scoped keys.
Benefits
Limitations
Frequently Asked Questions
Is there a free trial, and do you need my card?
Is my database safe?
Can it read my own schema?
Which databases are supported?
How is this different from letting ChatGPT write SQL?
Is there an API, and can my AI agent use it?
Does it work offline or on the desktop?
Getting Started
- 1 Step 1: Create an AI2SQL account and start a free trial or free tier.
- 2 Step 2: Connect AI2SQL to your database using read-only credentials (supported databases listed on the site).
- 3 Step 3: Use plain-English prompts to generate, explain, optimize, fix or run SQL; optionally install the desktop connector for local/private databases or configure the Gateway/MCP endpoint for agents.
Support
Docs
API & MCP documentation and guides available on the site (MCP docs referenced).
Chat support
Chat support is included on the Start plan; priority support on Pro and Team plans.
Contact
Contact link available on the site for sales or other inquiries.
API
REST API and MCP docs are provided on the site (the product describes a governed MCP endpoint and REST API for agents).
Calls are metered and the gateway supports rate-limiting; every query is audited and metered per query.
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