One of the biggest barriers to building AI-powered applications is access to reliable, context-rich operational data. Developers exploring agentic interfaces often assume they’ll need to migrate their database to a new platform to get started, introducing friction, risk, and delay.

With SkyAI Agents, that’s no longer necessary.

SkyAI Agents can connect directly to your existing MySQL or MariaDB databases, whether they’re running on-prem, in a managed service like AWS RDS or GCP Cloud SQL, or in any other environment. No data migration. No new infrastructure. Just a smarter interface on top of the systems you already operate.

Designed for Operational Data, Not Toy Datasets

Most tools in this space attempt to bolt a large language model (LLM) onto a database by blindly generating SQL from natural language. That approach breaks down quickly: it hallucinates queries, misinterprets intent, and can’t adapt to the nuances of real-world schemas.

SkyAI Agents are designed to deeply understand your data. They identify categorical fields and generate targeted vector embeddings, decompose complex questions into structured sub-queries, and assess the relevance and accuracy of each response with a confidence score. Their architecture incorporates a tightly integrated RAG pipeline, but the real strength lies in how they align with your actual schema, field names, and business logic—enabling precise, context-aware reasoning grounded in the semantics of your data.

Minimal Setup, Maximum Context

Deploying a SkyAI Agent requires no changes to your database. You provide read access via a standard connection string. From there:

• The system analyzes your schema and relationships

• Developers optionally annotate key business logic (e.g., “orders.total_amount is in USD”)

• The agent builds a lightweight semantic map, pairing human guidance with automated inference

No prompt engineering, no model fine-tuning, and no rebuilding when the schema changes. And because it lives just outside your system, it respects all existing access controls and security boundaries.

Low Impact, High Confidence

SkyAI Agents are engineered to work safely in production environments. They implement query throttling, scope enforcement, and optional validation steps that show both the interpreted intent and generated SQL. This human-in-the-loop model not only prevents surprises, it creates a durable catalog of validated patterns that improve over time.

Unlike batch pipelines, agents work against live production data, without compromising performance or compliance.

Built for Developers

SkyAI Agents expose a clean API layer, so applications can call them directly via REST or via our MCP server. You can embed them into internal dashboards, operational tooling, or even customer-facing apps… no need to reinvent your data access layer or stand up new middleware.

In short, you get the benefits of AI without the cost of replatforming.

Check out the latest demo to see SkyAI Agents in action with an AWS RDS MySQL instance, and learn how easy it is to add AI to your app using the database you already have.

To see how SkyAI Agents are configured, watch this demo.

Getting Started with SkyAI Agents

It’s easy to get up and running. Create a SkySQL account at app.skysql.com, select SkyAI Agents on the left-hand side of the dashboard, connect to your data source within the agent builder UI, and create an agent.