Ask Claude or ChatGPT about the data in your MySQL database, from the tables you approve, with writes only for the roles you allow.
Read from MySQL when someone asks. Nothing exported, nothing copied, and changes only where you allow them.
How many orders did we take each day this week, compared with the same days last week?
Which products are below ten units in stock right now?
Move the delivery date on order 10294 to next Tuesday.
Each is its own permission, never on the User role. REPLACE INTO, TRUNCATE, schema changes and stored procedures are refused, and every call is one auto-committed statement. Every write is on record.
Already on dbt? We import the project (dbt Core is enough), and its definitions guide every answer from MySQL.
Orders, bookings and customer records often sit in a MySQL database behind your app or your store, where only a developer can query them. Connected once, your team asks in plain English and gets answers from the tables approved for them. Writes stay off unless you turn them on, and even then each one is a single checked statement.
An admin connects MySQL one time. Nobody hands over a personal login.
Each answer is read at the moment of the question. Nothing is exported or copied, so there is nothing to keep in sync.
What each role can see and do holds in every AI your team uses, and in your own agents.
Every question and every action, by every person and agent, in one audit trail.
Yes. MySQL 8 is the baseline, and MariaDB, Amazon Aurora MySQL, PlanetScale and TiDB work the same way. It connects with a username and password, with TLS on by default.
Insert, update, delete and upsert are separate permissions, off for the User role and limited to approved tables. Update and delete need a WHERE clause, so a slip cannot rewrite or empty a table without an explicit override. REPLACE INTO is refused because it deletes and re-inserts rows.
No. It sees the tables you approve, named by database and table. Switching databases is blocked, schema lookups are refused, and a query that names any other table never runs.
Yes, and one built for a whole company. FrontierOps gives Claude, ChatGPT and any other MCP client one connection to MySQL, set up once by an admin. What each role can read or change is decided in FrontierOps, and every call is on record, instead of each person running their own server with their own login.
A direct connection links one AI to MySQL through one person’s login, with that person’s settings. That works for one person. For a team it means no shared definitions, no single place to decide who can see or change what, and starting over when you switch AI. Through FrontierOps, MySQL is connected once, for every AI and every agent, under one set of permissions, with every call on record.