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iTeam
Integration · Data, BI and databases Through the API

MySQL integration: AI agents that query your database

MySQL is an open-source relational database, widely used in internal systems, websites and business applications of every size. The agent connects to MySQL through a read-only database user, preferably on a replica, or through an MCP server, running only the queries you allow.

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Integration

What AI agents do with MySQL

Questions answered with SQL

A manager asks in Teams how many orders went unbilled yesterday. The agent writes the query, runs it on the replica and answers with the number and the query it used.

Reports that build themselves

Reports someone used to assemble every week from an export become a scheduled query. The agent sends the formatted result by e-mail or in a spreadsheet.

Odd data caught early

The agent checks volumes and critical fields every day and warns you when something looks off, such as zero-value orders or duplicate records.

Legacy systems without an API

For internal systems that have no API, the MySQL database becomes the agent's source to read from, with no change to the system itself.

How it works in iTeam

Connect MySQL once. The agents use it within your rules.

  • Through the APIConnected through the app’s API: iTeam learns the endpoints from the documentation and the scope is confirmed in the diagnosis.
  • Each agent gets the right accessYou decide what each agent can read or do in MySQL, by area and by person.
  • Human approval where it mattersSensitive actions wait until someone with the authority approves them.
  • A trail and a cost for every actionWho asked, what the agent did in MySQL and what it cost, all on record.

Often used together with MySQL

Questions

Questions about MySQL and AI agents

Does iTeam integrate with MySQL?

Yes. The agent connects to MySQL through a database user or an MCP server, set up with your IT team during deployment.

Can the agent delete data from the database?

It should not and does not need to. We recommend a read-only user, on a replica when possible. Every query is recorded in the audit trail.

What if a query puts load on the database?

We set limits on run time and on rows returned, and your data team reviews recurring queries.

Next step

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