Data Discovery Tool FAQs

Question 1

How does the tool support AI agent integration?

Accepted Answer

It features an integrated MCP API (Microservice Communication Protocol API) specifically designed to allow AI agents to programmatically interact with and leverage the discovered and indexed data, facilitating advanced automation and analysis.

Question 2

Are there multiple ways to interact with the Data Discovery Tool?

Accepted Answer

Yes, the Data Discovery Tool offers both a command-line interface (CLI) for scriptable and programmatic interaction, and a user-friendly web interface (built with Flask) for visual management, searching, and schema exploration.

Question 3

What data sources can the Data Discovery Tool connect to?

Accepted Answer

Currently, the tool supports connecting to and indexing data from SQLite databases and folders containing CSV files, allowing for unified data exploration across these common formats.

Question 4

What is the Data Discovery Tool designed for?

Accepted Answer

The Data Discovery Tool helps users discover, explore, and manage data stored in various sources, specifically SQLite databases and CSV files, by indexing their structures and enabling efficient searching.

Question 5

What kind of search capabilities does it offer?

Accepted Answer

The tool provides robust keyword-based search functionality across indexed table and column structures. This allows users to quickly find relevant information within their connected SQLite databases and CSV files.

Data Discovery Tool

Data Discovery Tool

Key Features

Use Cases

Key Features

Use Cases