Connect MySQL, MariaDB, and Aurora as governed sources for AI answers. Answerplane builds live schema context from relationships and indexes so teams can inspect generated SQL and preserve provenance.
14-day trial / no credit card / 150 governed questions included
Scope MySQL, inspect the plan, and publish governed answers
Provide your MySQL connection details (host, port, database, user, password). Supports MySQL, MariaDB, Amazon RDS MySQL, Aurora MySQL, Azure MySQL, and self-hosted instances. SSL connections supported.
Answerplane analyzes your MySQL database structure including tables, columns, indexes, foreign keys, and relationships. This keeps answer plans source-aware.
Ask 'Show me orders from last week' or 'Which products are low on stock?' Then inspect the generated MySQL SQL, source path, and result before saving or embedding.
Optimized for MySQL's unique capabilities
Full support for MySQL 5.7+, MySQL 8.0+, MariaDB, Amazon Aurora MySQL, and Google Cloud SQL MySQL. Handles MySQL-specific syntax and functions.
Builds efficient MySQL queries with proper JOINs, indexes, and WHERE clauses. Optimizer-aware plans stay visible before teams publish an answer.
Introspects tables, columns, data types, indexes, foreign keys, and constraints. Schema knowledge keeps generated SQL aligned with the real source.
Plan governed answers over MySQL JSON columns. Supports JSON_EXTRACT, JSON_CONTAINS, and other MySQL JSON functions in reviewable SQL.
See how governed questions become inspectable MySQL plans
"Show me top 5 customers by order count"
SELECT
c.customer_name,
COUNT(o.order_id) AS order_count,
SUM(o.order_total) AS total_spent
FROM customers c
JOIN orders o ON c.customer_id = o.customer_id
GROUP BY c.customer_id, c.customer_name
ORDER BY order_count DESC
LIMIT 5;Explanation: JOIN with aggregation and LIMIT for top N results
"Find products added in the last 30 days"
SELECT product_name, category, price, created_at
FROM products
WHERE created_at >= DATE_SUB(NOW(), INTERVAL 30 DAY)
ORDER BY created_at DESC;Explanation: Uses MySQL DATE_SUB and NOW() for date filtering
"What's the revenue breakdown by category?"
SELECT
p.category,
COUNT(DISTINCT o.order_id) AS order_count,
SUM(oi.quantity * oi.unit_price) AS total_revenue,
AVG(oi.quantity * oi.unit_price) AS avg_order_value
FROM order_items oi
JOIN orders o ON oi.order_id = o.order_id
JOIN products p ON oi.product_id = p.product_id
GROUP BY p.category
ORDER BY total_revenue DESC;Explanation: Multi-table JOIN with aggregations across related tables
"Show monthly sales growth percentage"
SELECT
DATE_FORMAT(order_date, '%Y-%m') AS month,
SUM(order_total) AS monthly_revenue,
LAG(SUM(order_total)) OVER (ORDER BY DATE_FORMAT(order_date, '%Y-%m')) AS prev_month_revenue,
ROUND(
(SUM(order_total) - LAG(SUM(order_total)) OVER (ORDER BY DATE_FORMAT(order_date, '%Y-%m')))
/ LAG(SUM(order_total)) OVER (ORDER BY DATE_FORMAT(order_date, '%Y-%m')) * 100,
2
) AS growth_pct
FROM orders
GROUP BY DATE_FORMAT(order_date, '%Y-%m')
ORDER BY month;Explanation: Window function LAG() for period-over-period comparison
"Find customers who haven't ordered in 90 days"
SELECT
c.customer_id,
c.customer_name,
c.email,
MAX(o.order_date) AS last_order_date,
DATEDIFF(NOW(), MAX(o.order_date)) AS days_since_order
FROM customers c
LEFT JOIN orders o ON c.customer_id = o.customer_id
GROUP BY c.customer_id, c.customer_name, c.email
HAVING DATEDIFF(NOW(), MAX(o.order_date)) > 90 OR MAX(o.order_date) IS NULL;Explanation: LEFT JOIN with HAVING clause to find inactive customers
"Get products with JSON metadata containing specific tags"
SELECT
product_name,
price,
metadata
FROM products
WHERE JSON_CONTAINS(metadata, '"eco-friendly"', '$.tags')
ORDER BY price DESC;Explanation: MySQL JSON_CONTAINS for querying JSON columns
These are just a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
Your MySQL data is protected with enterprise-grade security
Read-only MySQL user accounts enforced for all connections
All credentials encrypted at rest with AES-256 encryption
SSL/TLS connections required for production databases
Query timeouts prevent runaway queries (default 30 seconds, configurable)
No data storage - results are ephemeral and never persisted
Respects MySQL user privileges and grants
Organization-level database isolation in multi-tenant architecture
Full audit trail of all queries for compliance
Everything you need to know about using Answerplane with MySQL
Go to Settings > Databases > Add Database, select MySQL, and provide connection details (host, port, database, username, password). You can also use MySQL connection URLs like mysql://user:pass@host:3306/database. We recommend creating a dedicated read-only user.
Yes! Answerplane is fully compatible with MariaDB since it maintains MySQL protocol compatibility. Simply select MySQL as the database type when connecting.
Absolutely. Answerplane supports Amazon RDS MySQL, Amazon Aurora MySQL, as well as Azure Database for MySQL, Google Cloud SQL MySQL, and self-hosted MySQL instances.
Answerplane supports MySQL 5.7, MySQL 8.0, and newer versions, as well as MariaDB 10.x. We automatically detect version-specific features and generate appropriate queries.
Yes. Answerplane understands MySQL JSON data types and can build reviewable queries using JSON_EXTRACT, JSON_CONTAINS, JSON_SEARCH, and other MySQL JSON functions.
Live schema context detects foreign key relationships. When questions span multiple tables, the planner builds reviewable JOIN plans using these relationships.
Yes. We enforce read-only access, encrypt credentials at rest, and rely on your source permissions as the system of record. We do not ingest or replicate source contents wholesale; saved chats, dashboards, exports, uploads, and materialized artifacts are retained only when you use those features.
Definitely! Answerplane excels at generating analytics queries with aggregations (SUM, AVG, COUNT, MIN, MAX), GROUP BY, window functions (MySQL 8.0+), and date/time functions. Perfect for dashboards and reporting.
We enforce query timeouts (default 30 seconds, configurable) to prevent long-running queries from impacting your database. If a query times out, Answerplane will suggest ways to optimize it.
Answerplane currently focuses on SELECT queries. Stored procedure execution is not supported as it requires write access. However, you can query tables and views that stored procedures might populate.
Still have questions?
Contact our teamLet teams ask questions, inspect plans, and publish trusted MySQL answers with provenance attached.
14-day trial / no credit card / 150 governed questions included