Your AI SQL Assistant
Generate SQL, explain existing queries, fix errors, optimize performance and query your own database — in plain English, on your actual schema.
Start free trial →7-day free trial · $0 today · cancel in one click
AI2SQL turns a plain-English request into SQL for your schema, fixes failing queries and explains existing ones.
USED BY ENGINEERS & ANALYSTS AT
THE HONEST COMPARISON
Why not just ask ChatGPT?
Fair question, and the honest answer is that for a one-off query on a schema you can paste into a chat box, a general assistant is fine. The gap opens the moment the database is real: dozens of tables, a dialect that matters, and a query whose result someone will act on.
| CHATGPT | AI2SQL | |
|---|---|---|
| Writes SQL from a plain-English description Both do this well. It is not the difference. | ✓ yes | ✓ yes |
| Knows your tables and columns without pasting them in AI2SQL reads the live schema, so joins and column names are yours, not a textbook's. | — no | ✓ yes |
| Emits the right dialect for your database A chat window guesses unless you keep reminding it. AI2SQL targets the connection you picked. | ~ partial | ✓ yes |
| Runs the query and hands back rows Generation is half the job. The other half is finding out whether the answer is right. | — no | ✓ yes |
| Refuses writes, DROP and DDL by default Read-only is enforced before the statement reaches your database, not requested politely in a prompt. | — no | ✓ yes |
| Explains, optimizes and fixes a query you already have Both can. AI2SQL does it against the real schema and the real plan. | ✓ yes | ✓ yes |
| Lets your own AI agent query the database A governed MCP endpoint — Cursor, Claude and any MCP client speak it already. | — no | ✓ yes |
| Keeps a query library the whole team can reuse | — no | ✓ yes |
✓ yes · ~ partial · — no
Try it on your own schema →HOW IT WORKS
From raw schema to trusted answers
01
Connect
Point AI2SQL at your Postgres, MySQL, SQL Server, Snowflake, BigQuery, MongoDB or Oracle. Read-only credentials, encrypted at rest.
02
Ground
We build a semantic layer from your schema — tables, joins and business terms — so your agent generates SQL that's correct on YOUR data, not a textbook's.
03
Answer
Your agent calls run_query over MCP or REST. Governed, read-only SQL executes and the answer comes back — audited and metered per query.
WHO USES IT
Built for the query in front of you
Data analyst
You know the question, not the join.
Ask in English, get a query that matches your real column names, then run it and read the rows without leaving the page.
Backend developer
You have a query that works and a query that is slow.
Paste it in. Get an explanation of what it does, an optimized version, and a fix when the dialect fights you.
Data engineer
Six databases, six dialects, one afternoon.
One place that speaks PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Redshift, MongoDB, SQLite and Firebird.
AI agents
Your agent needs data, not a copy of your credentials.
A governed MCP endpoint any MCP client speaks. Read-only by default, every query logged, keys scoped per agent.
Learning SQL
You want the answer and the reason.
Every generated query comes with an explanation, so the next one you write yourself.
THE WORKFLOW
One place for the whole query, start to finish
Generate
Describe the result you want.
Plain English in, SQL out — using your real table and column names, in the dialect of the database you picked.
Explain
Inherited a query nobody remembers writing?
Get a plain-language walkthrough of what it does, clause by clause, so you can trust it before you run it.
Optimize
It works, but it takes 40 seconds.
Get a rewritten version and the reasoning — the join that should have been a filter, the index that is missing.
Fix
Paste the query that will not run.
Syntax errors, dialect mismatches and wrong column names, corrected with an explanation of what broke.
Format
Make it readable before it goes in the PR.
Consistent casing, indentation and line breaks in one pass.
Run
Then find out whether the answer is right.
Execute against a live read-only connection and read the rows without leaving the page.
CONNECTORS
Ten databases, one syntax to learn
Connect with read-only credentials and AI2SQL uses your live schema to write queries in that database's dialect.
-
PostgreSQL -
MySQL -
SQL Server -
Oracle -
Snowflake -
BigQuery -
Amazon Redshift -
MongoDB - SQL SQLite
- Fir Firebird
DESKTOP APP
SQL generation that runs locally
The AI2SQL Connector runs where your database already lives, so the assistant can work with your real tables. Windows, macOS and Linux.
- ✓ Your credentials never leave your machine — no port to open, no tunnel
- ✓ MySQL, PostgreSQL and SQL Server on localhost or a private address
- ✓ Signs in with your existing AI2SQL account — no second subscription
data sources › production_db ● connected (local)
SELECT region, SUM(revenue) AS total
FROM sales GROUP BY region
ORDER BY total DESC;✓ 4 rows · 0.08s · executed locally — nothing sent to the cloud
AI2SQL GATEWAY
Safe database access for AI agents
Your team already uses AI agents. The gateway lets them query your database through one governed MCP endpoint — read-only, rate-limited and fully audited.
- ✓ Read-only enforced at the gateway — writes never reach your database
- ✓ Every query logged with the key that ran it; revoke any key in one click
- ✓ Works with Claude Code, Claude Desktop, Cursor and ChatGPT via MCP
1 write attempt blocked — nothing reached your data. Every call logged.
CUSTOMER SUCCESS STORIES
Real Experiences with AI2sql
We are working on a project where our users can type a question into a test box and it generate data for them, AI2SQL has proven that this would be a viable solution for our customers.
I am a developer in visual foxpro 9.0 with SQL server. I'm trying to get you to help me generate a script for the database tables. So far it has been easy to operate.
I just started learning data analytics over a month now and I was given assignments. What would have taken me hours to figure out was done in 10 mins by this awesome AI2sql. I will always come back here. you guys are the best.
I'm an analyst, and this has been a great way to cram for sql assignments. Needs to be worked with some prior knowledge, but for most part, its great.
AI2sql is a powerful tool that can help anyone to generate SQL queries without the need for specialized knowledge or training. It is especially helpful for those who are new to working with databases.
This tool has helped me fix several critical errors in our SQL scripts that have been effecting several areas of our company. This tool is well worth the monthly cost.
PRICING
Three plans, 7-day free trial
Start
$9 per month
or $7/mo billed annually
The essentials, for getting things done
- ✓ 100 SQL queries / month
- ✓ Basic SQL generation
- ✓ Explain SQL queries
- ✓ Fix syntax errors
- ✓ Chat support
Pro
$19 per month
or $14/mo billed annually
For daily SQL work on real databases
- ✓ Unlimited SQL queries
- ✓ Advanced AI model
- ✓ Query optimization & explanation
- ✓ Database connectors
- ✓ Desktop app (Windows & Mac)
- ✓ Priority support
Team
$39 per month
or $29/mo billed annually
Share queries and govern access
- ✓ Everything in Pro
- ✓ 5 users included
- ✓ Shared query library
- ✓ Role-based access control
- ✓ Execution priority
- ✓ Advanced analytics
Prices in USD. Every plan starts with a 7-day free trial — $0 charged today, a card is required to start it, and you can cancel in one click before it ends.
AI SQL QUERY GENERATOR
Text to SQL, on your own schema
AI2SQL is an AI SQL query generator: you describe what you need in plain English and it writes the SQL. This is often called text to SQL. Unlike a generic SQL generator, it works from the tables and columns of the database you connect, so names and joins match your data.
Plain English
Show total sales by product category for the last month
Generated SQL (MySQL)
SELECT p.category, SUM(s.amount) AS total_sales
FROM sales s
JOIN products p ON p.product_id = s.product_id
WHERE s.sale_date >= DATE_SUB(CURDATE(), INTERVAL 1 MONTH)
GROUP BY p.category
ORDER BY total_sales DESC;How text to SQL works in AI2SQL
Pick a database, or the demo database on the Free plan. Describe the result you want in plain English. AI2SQL writes the SQL in that database's dialect, using your real table and column names, and you can run it read-only to see the rows.
For developers
Treat generated SQL like a colleague's pull request: check table and column names against your schema, read the joins and filters, and look at the execution plan for anything that will run often. Explain, Fix and Optimize work on any query you paste, generated or hand-written.
For analysts and learners
Ask for a report the way you would ask a colleague, then read the query that answers it. Seeing your own question mapped to SELECT, JOIN and GROUP BY is a practical way to learn SQL.
SQL AI TOOLS
Popular tools, converters & guides
FAQ
Frequently asked questions
Is there a free trial, and do you need my card? + −
Every plan starts with a 7-day free trial. $0 is charged today, but a card is required to start it, and you can cancel in one click from your account before the trial ends — you pay nothing.
Is my database safe? + −
Connections are read-only by default. sqlGuard classifies every statement before it reaches your database and blocks INSERT, UPDATE, DELETE, DROP and other DDL, multi-statement input, and functions that read server files. Credentials are encrypted, every query is logged, and you can revoke a key at any time.
Can it read my own schema? + −
Yes — that is the point. Connect a database and AI2SQL uses your real tables, columns and relationships when it writes SQL, so joins and names match your schema instead of a generic example.
Which databases are supported? + −
PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, BigQuery, Amazon Redshift, MongoDB, SQLite and Firebird.
How is this different from letting ChatGPT write SQL? + −
For a single query on a schema you can paste into a chat box, it is not very different. The gap is everything that needs the live database: knowing your tables without being told, emitting the right dialect, running the query and returning rows, refusing writes, and exposing the same thing to your own AI agent.
Is there an API, and can my AI agent use it? + −
Yes. There is a REST API, and a governed MCP endpoint that any MCP-compatible client speaks — Cursor, Claude, ChatGPT in developer mode, or your own agent. Keys are scoped per agent and every call is metered and logged.
Does it work offline or on the desktop? + −
There is a desktop app for Windows and macOS on the Pro plan, which is also how you reach a database that only listens on localhost or an internal hostname. Query generation itself needs a connection to our API.
What is an AI SQL query generator? + −
A tool that turns a plain-English request into a SQL query. With AI2SQL you describe the result you want, and it writes the query using the tables, columns and dialect of the database you connected. You can then explain, fix or optimize that query, or run it read-only and see the rows.
What is text to SQL? + −
Text to SQL (also written text2sql or NL2SQL) means converting a natural-language question into SQL. For example, "total sales by product category last month" becomes a SELECT with a join, a date filter and a GROUP BY. Results are most reliable when the tool knows your real schema, which is why AI2SQL works from a connected database instead of guessing table names.
Is there a free SQL generator plan? + −
Yes. The Free plan includes 3 queries a day on a demo database. Connecting your own database needs the Pro or Team plan. Paid plans are Start ($9/month), Pro ($19/month) and Team ($39/month), and each starts with a 7-day free trial; a card is required to start the trial.
Give your agent database access today
Free plan · 3 queries a day on a demo database. Read-only by default.