Data Product FAQs

Question 1

What is Data Product?

Accepted Answer

Data Product is an MCP (Model Context Protocol) server designed to enable AI agents to discover, access, and query high-quality business data products while strictly enforcing data governance policies. Its ultimate goal is to help AI answer any business question.

Question 2

How does Data Product facilitate AI agents' interaction with data?

Accepted Answer

It provides AI agents with a comprehensive toolkit to search for relevant data products, retrieve detailed information (including data contracts and access status), request access to specific output ports, and execute SQL queries directly on underlying data platforms like Snowflake and Databricks.

Question 3

What data platforms does Data Product currently support for querying?

Accepted Answer

Data Product currently supports direct SQL query execution on Snowflake and Databricks data platforms. There are plans to expand support to include S3, BigQuery, and Fabric in the near future.

Question 4

How does Data Product ensure data governance and security?

Accepted Answer

It enforces data governance by controlling access to data products, ensuring queries align with data contract terms of use, and adhering to organizational policies. Access requests can undergo automated or manual approval workflows, and SQL execution includes security guardrails to mitigate misuse and attack vectors.

Question 5

Can I request access to data products through this tool?

Accepted Answer

Yes, Data Product includes a dedicated tool to request access to specific output ports of a data product. These requests are managed based on configuration, purpose, and governance rules, potentially requiring approval from the data product owner.

Data Product

Data Product

Key Features

Use Cases

Key Features

Use Cases