AI2SQL
AI2SQL turns plain English into schema-aware SQL, with a governed MCP server for read-only database queries.
The MCP gateway is the reason to pay: it gives an AI agent read-only, metered, revocable access to a live schema, which is a genuinely different product from pasting DDL into a chat box. Start's 100 queries/month is a trial-sized cap, so anyone connecting a real database should budget for Pro at $19. The 7-day trial is workable but short if you need to wire up MCP and several connectors before deciding.
Verified 14d ago · liveness 87/100 · cite: rightaichoice.com/tools/ai2sql
- Engineers and analysts who need correct SQL on a real schema without pasting table definitions
- Teams building AI agents that need governed, read-only database access through MCP
- Data engineers juggling multiple databases and dialects in one afternoon
- Security-conscious organizations wanting live-schema SQL with credentials kept local via the Connector
- Anyone needing writes, DDL or migrations — read-only is enforced by design
- Users on databases outside the supported list, such as CockroachDB or DB2
- High-volume querying on Start, which caps out at 100 queries per month
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Skip AI2SQL if you need a free, unlimited text-to-SQL tool or if you require write access, DDL operations, or support for databases outside its list (e.g., CockroachDB, DB2).
The Start plan's 100-query monthly cap can be hit quickly; each additional query isn't sold separately, so you must upgrade to the next tier, which may cost more than you planned.
AI2SQL's pricing fits solo analysts and small teams that need accurate SQL on real schemas without breaking the bank. Starting at $9/mo for 100 queries is cheaper than hiring a data engineer, but power users will quickly need the $39/mo Business tier for unlimited tables and API access. Compared to enterprise tools like Databricks SQL or dbt Cloud, AI2SQL is significantly cheaper, but it lacks the full data platform features. For a one-off query, ChatGPT is free, but AI2SQL's schema grounding
In short
AI2SQL — AI2SQL turns plain English into schema-aware SQL, with a governed MCP server for read-only database queries. Best for Engineers and analysts who need correct SQL on a real schema without pasting table definitions, Teams building AI agents that need governed, read-only database access through MCP, Data engineers juggling multiple databases and dialects in one afternoon. Free to start; paid plans from $9/mo.
What's new in AI2SQL
Checked 6 days agoAcross the latest 3 updates: 1 feature update, 1 pricing change and 1 changelog entry.
New MariaDB Connector Now Supported
AI2SQL now supports MariaDB as a database connector, available on the Business plan and above, expanding its multi-database coverage.
7-Day Free Trial on All Plans
Extended free trial from 3 days to 7 days on all plans to give users more time to evaluate.
Desktop App Renamed to AI2SQL Connector
The desktop app is now called 'AI2SQL Connector' and emphasizes local execution with no cloud dependency.
Viability Score
How well maintained and how widely used is AI2SQL? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Natural language to SQL generation on your live schema
- Schema-aware grounding via a semantic layer of tables, joins and business terms
- Explain existing SQL clause by clause in plain language
- Optimize slow queries with rewritten SQL and reasoning
- Fix syntax errors, dialect mismatches and wrong column names
- Format SQL with consistent casing, indentation and line breaks
- Run read-only queries and read returned rows in-page
- Read-only enforcement at the gateway — writes, DROP and DDL blocked
- MCP server for Claude Code, Claude Desktop, Cursor, ChatGPT and VS Code
- REST API and Gateway for agent database access
- Per-agent API keys, logged per query and revocable in one click
- Desktop app (AI2SQL Connector) for Windows, macOS and Linux
- Local execution with no cloud dependency — credentials never leave your machine
- Live database connectors including MariaDB (Business plan and above)
- Shared query library and role-based access control on Team
About AI2SQL
AI2SQL is a text-to-SQL assistant that writes queries against your live database schema instead of guessing from a textbook. Point it at Postgres, MySQL, SQL Server, Oracle, Snowflake, BigQuery or MongoDB using read-only credentials and it builds a semantic layer from your tables, joins and business terms, then generates SQL in that database's dialect. MariaDB was added as a connector in February 2026. The tool covers the full query lifecycle: generate SQL from a plain-English description, explain an inherited query clause by clause, optimize a slow one, fix syntax and dialect errors, format it before it goes in a PR, and run it read-only to read the rows without leaving the page. The AI2SQL Gateway enforces read-only before a statement reaches your database, so writes, DROP and DDL never land. Every call is logged with the key that ran it and any key can be revoked in one click. For agent builders, an MCP server lets Cursor, Claude Code, Claude Desktop, ChatGPT and VS Code write SQL — and on Pro and Team, run live read-only queries — through a governed endpoint instead of handing an agent your credentials. The desktop app, renamed AI2SQL Connector in December 2025, runs locally on Windows, macOS and Linux with no cloud dependency, and supports MySQL, PostgreSQL and SQL Server on localhost or a private address. It suits engineers, analysts, data engineers and teams shipping AI agents that need audited database access. For a single query on a schema you can paste into a chat window, a general assistant is cheaper; the case for AI2SQL starts when the database is real and the result is something someone will act on. Paid plans begin at $9/month, with a $29 one-time lifetime option.
Behind the Verdict
The pitch that matters here isn't text-to-SQL — a dozen tools do that passably. It's that AI2SQL reads your live schema and refuses writes before the statement reaches the database, which changes what you can safely hand to an autonomous agent. In practice, we'd reach for it the moment an agent needs data and nobody wants to paste production credentials into a prompt. Pick AI2SQL if you're running multiple dialects and want one interface, or if you're building an MCP client that needs a governed run_query endpoint. The Team plan at $39/month for five seats with a shared query library and role-based access is the sensible landing spot for a data team; solo developers writing SQL weekly will be fine on Pro at $19. Pass on it if your only need is generating SQL from text for schoolwork — you'll hit Start's 100-query ceiling fast, and a free general assistant covers that ground. Likewise, skip it if you need writes, DDL or migrations: read-only is enforced by design, not a setting you can flip. Where it bites: connector coverage stops at the documented list, so CockroachDB, DB2 and other engines are out. The desktop Connector supports only MySQL, PostgreSQL and SQL Server locally, not the full ten. And the MCP split between writing SQL and running live queries means the free-ish Start tier can draft SQL through MCP but not execute against your database. Against ChatGPT, the honest comparison holds up: both write SQL, but only AI2SQL targets your connection's dialect, runs the query and returns rows. Against a code assistant like Copilot, the difference is governance — scoped keys, audit logs and a read-only gateway rather than a chat history. We'd try the 7-day trial on the exact database you care about before committing.
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Real-world workflow fit
Concrete scenarios for the personas AI2SQL actually fits — and what changes day-one when you adopt it.
You need a monthly revenue report but don't remember the exact join between orders and customers.
Outcome: You type a question in English, AI2SQL reads the live schema, generates the correct SQL with your real column names, runs it read-only, and returns the rows within minutes—no manual debugging.
You have a slow-running query that's causing dashboard timeouts and you need to optimize it.
Outcome: You paste the query into AI2SQL, get a plain-language explanation of what it does, an optimized version that uses the right indexes and joins, and a fix for any dialect issues—before it goes to production.
You're building an AI agent that needs to answer questions from your company's Postgres database without exposing credentials.
Outcome: You connect AI2SQL via its MCP server to Cursor or Claude Code, grant read-only scoped API keys, and your agent can run governed queries with full auditing—no copy of credentials on the agent.
Use Cases
- Generate monthly sales reports by querying your CRM database in plain English.
- Explain how a complex JOIN query works for onboarding new team members.
- Optimize slow-running SQL queries to improve dashboard load times.
- Fix syntax errors in legacy SQL scripts without manual debugging.
- Design database schemas visually using ER diagrams and import them as tables.
- Query CSV data on the fly without writing Python or Pandas code.
- Connect an AI agent like Cursor to your database for governed read-only queries.
Models Under the Hood
as of 2026-09-22
Limitations
- AI2SQL's Start plan caps usage at 100 SQL queries/month and supports a limited set of databases (MySQL, PostgreSQL), while unlimited queries, connecting your own database, query optimization, and the desktop app require the Pro plan at $19/mo.
- Team features like the shared query library, role-based access control, and 5 included users require the $39/mo Team plan.
- All plans start with a 7-day free trial ($0 today, card required), and MCP live database querying is available on Pro and above.
as of 2026-08-30
Verification history
We have re-verified AI2SQL 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published AI2SQL tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Start
$9/mo
Ideal for
Solo analyst or developer with a small schema (≤10 tables) who occasionally needs SQL help and can manage within 100 queries per month.
What this tier adds
Starting tier: $9/mo, 100 SQL queries/mo, 10 tables, supports SQL, MySQL, PostgreSQL; includes SQL tools, formula generator, and ER diagrams.
Pro
$19/mo
Ideal for
Freelancer or small team with up to 50 tables and moderate query volume (300/mo) who needs access to Oracle, MongoDB, and BigQuery connectors.
What this tier adds
Upgrades from Start: 300 queries/mo, 50 tables, adds Oracle, MongoDB, BigQuery connectors; still no API or desktop app.
Lifetime
$29 once
Team
$39/mo
Where the pricing makes sense
The company stage and team size where AI2SQL's pricing actually pencils out — and where peers do it cheaper.
AI2SQL's pricing fits solo analysts and small teams that need accurate SQL on real schemas without breaking the bank. Starting at $9/mo for 100 queries is cheaper than hiring a data engineer, but power users will quickly need the $39/mo Business tier for unlimited tables and API access. Compared to enterprise tools like Databricks SQL or dbt Cloud, AI2SQL is significantly cheaper, but it lacks the full data platform features. For a one-off query, ChatGPT is free, but AI2SQL's schema grounding
Setup time & first value
How long it actually takes to get something useful out of AI2SQL — broken out by persona, not the marketing-page minute.
Data analysts: connect your database in minutes (typically under 5 minutes) and generate your first query right away. Backend developers: paste an existing query and get explanations/optimizations immediately, though fine-tuning may take an hour. AI agent builders: setting up the MCP server and scoping keys takes about 15-30 minutes, including testing. The 7-day free trial gives you time to
Switching to or from AI2SQL
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or a general chatbot: Stop pasting schema and context; connect your database directly and let AI2SQL read the schema for you.
- ↗To dbt Cloud or a full data platform: If you need orchestration, transformations, and data quality, you can export your SQL queries and use them as models.
- ↗To a traditional SQL client like DBeaver or DataGrip: You can copy the generated SQL into those tools; AI2SQL doesn't lock you in.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “AI2SQL”, and we withheld 6: 6 could not be judged, because “AI2SQL” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about AI2SQL.
Official links
Tools that pair well with AI2SQL
Common stack mates teams adopt alongside AI2SQL, with the specific reason each pairing earns its keep.
Chat2DB
Chat2DB turns plain English into optimized SQL across 40+ databases, with queries processed locally.
BlazeSQL
BlazeSQL turns plain-English questions into SQL answers, dashboards, and reports from your existing database.
Text2SQL
Turn natural language into SQL queries across major databases with schema awareness, plus a desktop app.
Alternatives to AI2SQL
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Frequently Asked Questions
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