VynelixAI Agent Studio: Testing Real Data Workflows with MongoDB, Amazon S3, and ClickHouse

Description and use

VynelixAI Agent Studio lets developers build and test workflows that interact with Amazon S3, MongoDB, and ClickHouse in a single visual desktop app.

Problem

Developers need a visual tool that can connect to multiple data sources, execute operations, and return results for AI workflow development.

Outcome

Agent Studio enables developers to test end‑to‑end data workflows with real services, reducing integration friction and accelerating AI agent development.

Workflow

• 1. Open Agent Studio desktop application.
• 2. Create a new workflow and add a data source node for Amazon S3, MongoDB, or ClickHouse.
• 3. Configure the node with connection details (e.g., bucket name, database URI).
• 4. Add operation nodes such as list objects, read object, write object, delete object, copy object for S3; read collection and get schema for MongoDB; query for ClickHouse.
• 5. Connect operation nodes to downstream processing nodes.
• 6. Execute the workflow and inspect returned data and schema in the visual console.

Evidence

We tested operations for listing, reading, writing, deleting, and copying objects, as well as creating a bucket.

Source

We tested reading customer records from a MongoDB collection and returning the available data and schema.

Source

We explored querying analytical data and using query results in a workflow.

Source