01governed
Connect Your MySQL Database
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.
Governed MySQL Answers
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
mysql / approved_sourcegoverned
Revenue$128k
Orders1,240
Avg order$103
Revenue by monthSample / last 12 months
From source to a reviewable answer.
Scope MySQL, inspect the plan, and publish governed answers.
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AI Learns Your Schema
Answerplane analyzes your MySQL database structure including tables, columns, indexes, foreign keys, and relationships. This keeps answer plans source-aware.
03governed
Inspect the MySQL Plan
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.
MySQL capabilities, kept visible.
The source model stays aligned with MySQL's capabilities instead of flattening every question into generic SQL.
MySQL & MariaDB Compatible
Full support for MySQL 5.7+, MySQL 8.0+, MariaDB, Amazon Aurora MySQL, and Google Cloud SQL MySQL. Handles MySQL-specific syntax and functions.
Optimized Query Generation
Builds efficient MySQL queries with proper JOINs, indexes, and WHERE clauses. Optimizer-aware plans stay visible before teams publish an answer.
Automatic Schema Detection
Introspects tables, columns, data types, indexes, foreign keys, and constraints. Schema knowledge keeps generated SQL aligned with the real source.
JSON Column Support
Plan governed answers over MySQL JSON columns. Supports JSON_EXTRACT, JSON_CONTAINS, and other MySQL JSON functions in reviewable SQL.
Questions become inspectable work.
See how governed questions become inspectable MySQL plans, with the source and result attached.
“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;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;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;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;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;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;MySQL JSON_CONTAINS for querying JSON columns
These are a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
Source access stays bounded.
Your MySQL data is protected with enterprise-grade security.
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Read-only MySQL user accounts enforced for all connections
02
All credentials encrypted at rest with AES-256 encryption
03
SSL/TLS connections required for production databases
04
Query timeouts prevent runaway queries (default 30 seconds, configurable)
05
No data storage - results are ephemeral and never persisted
06
Respects MySQL user privileges and grants
07
Organization-level database isolation in multi-tenant architecture
08
Full audit trail of all queries for compliance
Questions about the connection.
What teams usually ask before using Answerplane with MySQL.
How do I connect my MySQL database?
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.
Does Answerplane work with MariaDB?
Yes! Answerplane is fully compatible with MariaDB since it maintains MySQL protocol compatibility. Simply select MySQL as the database type when connecting.
Can I use Answerplane with Amazon RDS MySQL or Aurora?
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.
What MySQL versions are supported?
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.
Can Answerplane query MySQL JSON columns?
Yes. Answerplane understands MySQL JSON data types and can build reviewable queries using JSON_EXTRACT, JSON_CONTAINS, JSON_SEARCH, and other MySQL JSON functions.
How does Answerplane handle MySQL foreign keys?
Live schema context detects foreign key relationships. When questions span multiple tables, the planner builds reviewable JOIN plans using these relationships.
Is my MySQL data secure?
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.
Can I use Answerplane for MySQL analytics?
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.
What happens if my query takes too long?
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.
Does Answerplane support MySQL stored procedures?
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 teamConnect MySQL to governed AI answers with source control.
Let teams ask questions, inspect plans, and publish trusted MySQL answers with provenance attached.
14-day trial / no credit card / 150 governed questions included
Try with your own approved source, or use the browser-only sample to inspect the flow first.
Open the sample dashboard