How to Build MySQL AI Agent

Company databases such as MySQL contain critical data about business operations. Business users can benefit immensely from this data, but they lack the technical skill set to access the data.

However, with the emergence of AI agents, business users can now retrieve data from MySQL without requiring coding skills. Business users can ask questions of MySQL in natural language instead of writing SQL queries.

In the following blog, we’ll show you how to build a MySQL AI agent, one that allows non-technical users to leverage the database without coding.  

Relational Databases: Difficulties for Business Users

Despite MySQL's widespread adoption as one of the most popular open-source relational databases, its technical nature often creates a barrier for non-technical professionals. 

These users typically lack the SQL skills required to efficiently pull the data they need for reporting, analysis, and decision-making, forcing them to rely heavily on technical teams for support. 

This dependency can lead to bottlenecks, as database administrators (DBAs) and engineers become overloaded with ad-hoc data requests, slowing down the entire organization’s ability to respond to real-time insights.

Business users often seek intuitive, drag-and-drop interfaces or natural language querying capabilities, which MySQL lacks natively. Without these user-friendly tools, the process of transforming raw data into meaningful insights becomes a cumbersome task.

AI Agents: Making MySQL More Accessible

Fortunately, advancements in AI are transforming the way business users interact with MySQL databases, eliminating many of these roadblocks. 

AI-powered agents, trained on vast amounts of structured and unstructured data, can now understand complex queries expressed in natural language, generating accurate SQL commands without manual intervention. 

This dramatically reduces the learning curve for non-technical users, empowering them to pull insights directly from the database without waiting on technical teams.By integrating AI at every level of the data stack, businesses can finally unlock the full potential of their MySQL databases, making data truly accessible to everyone.

MySQL AI Agent: How to Build

Here’s how to build the MySQL AI Agent. First, make sure to sign up for a free StackAI account. 

Navigate to the account dashboard. Click ‘New Project’.

Click the ‘Workflow Builder’ option.

From here, choose the MySQL AI Agent template. 

This will launch a pre-built workflow for the AI agent.

Let’s examine each component of the workflow. First, you have the Input node. This is where the business user asks a question in plain language. 

Next, we have the Text-to-SQL node. This translates the user’s natural language prompt into a SQL query. 

You can choose the dialect of SQL as well. In this case, you will choose “mysql”.

The MySQL node allows you to connect to the MySQL database. 

Click “Connect to MySQL” to set up the connection. 

Click “New connection” and enter the credentials for your MySQL database. Then press “Create connection”. Your MySQL connection will now be live. 

The next node is the LLM. The model of the LLM is Anthropic — Claude 3.5 Sonnet. 

The LLMs will run the SQL query against the MySQL database. This will return the result of the query.

Finally, the result of the query is displayed in the Output box. 

Now go to the Export tab.

Give your AI agent a name and a description.

Now launch the web app with the link.

The AI agent will run in your browser. Ask a question of the MySQL database in natural language and receive an answer back. 

With this AI agent, business users in sales, marketing, customer success, and other non-technical teams can easily extract data from a company’s MySQL database. 

Launch the MySQL AI Agent Now!

MySQL contains rich data for business users, but they lack the technical skills to access relational databases. 

But with the emergence of AI agents, business users can now extract data from MySQL with natural language prompts.

Sign up for a free account with StackAI now to launch our pre-built template for the MySQL AI Agent!