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Database

AI for MySQL

The most popular open-source database, supercharged with AI-powered queries.

MySQL is the backbone of the web. From WordPress sites to massive SaaS platforms, MySQL handles billions of queries every day across millions of deployments worldwide. Its simplicity, performance, and vast ecosystem make it the go-to choice for teams that want reliability without complexity.

AI for Database plugs directly into your MySQL instance — whether it runs on AWS RDS, PlanetScale, DigitalOcean, or your own servers. Ask questions in everyday language and the AI writes efficient MySQL-compatible SQL, respecting your schema, indexes, and data types.

No more context-switching between Slack and a SQL client. Your whole team gets instant, self-service access to the data locked inside MySQL — dashboards, alerts, and all.

What's supported

Full-featured AI querying tailored for MySQL.

Natural language to MySQL-optimized queries
Support for MySQL 5.7+ and MySQL 8.x features
Automatic index-aware query optimization
JOIN, GROUP BY, HAVING, and subquery support
Compatible with AWS RDS, Aurora, PlanetScale, and more
Read-only connections to protect production data
One-click chart and dashboard creation
Scheduled query results via Slack, email, or webhook

Example queries

Ask in plain English. AI for Database writes the MySQL query.

How many new users signed up each week this month?
SELECT YEARWEEK(created_at, 1) AS week,
       COUNT(*) AS new_users
FROM users
WHERE created_at >= DATE_FORMAT(CURDATE(), '%Y-%m-01')
GROUP BY week
ORDER BY week;
What is the average order value by country?
SELECT c.country, AVG(o.total) AS avg_order_value
FROM orders o
JOIN customers c ON c.id = o.customer_id
GROUP BY c.country
ORDER BY avg_order_value DESC;
Show me all overdue invoices
SELECT i.id, c.name, i.amount, i.due_date
FROM invoices i
JOIN customers c ON c.id = i.customer_id
WHERE i.status = 'pending'
  AND i.due_date < CURDATE()
ORDER BY i.due_date ASC;

Get started in minutes

1

Provide your MySQL host, port (default 3306), database name, username, and password.

2

Create a read-only MySQL user: GRANT SELECT ON your_db.* TO 'aifordb_reader'@'%';

3

AI for Database introspects your tables, columns, and foreign keys to understand your data model.

4

Start asking questions — the AI writes MySQL-compatible SQL and returns formatted results.

5

Enable SSL or SSH tunneling for secure connections to cloud or remote databases.

Use cases

Popular ways teams use AI for Database with MySQL.

Give marketing teams self-service access to campaign performance data stored in MySQL.
Build real-time dashboards for e-commerce metrics: orders, revenue, conversion rates.
Monitor database health metrics and get alerts when query latency spikes.
Generate automated customer reports pulled directly from your MySQL production database.
Let support agents look up order status and account details without developer involvement.

Ready to query MySQL with AI?

Connect your MySQL database and start asking questions in plain English. Free to start.