DataHub FAQs

Question 1

What is DataHub (mcp-datahub)?

Accepted Answer

DataHub (mcp-datahub) is an MCP server and composable Go library designed to connect AI assistants directly to DataHub metadata catalogs, enabling intelligent exploration and interaction with your data assets.

Question 2

How does DataHub empower AI assistants with data access?

Accepted Answer

It provides AI assistants with programmatic tools to search datasets, retrieve detailed schemas, trace data lineage, and access glossary term definitions, significantly enhancing their ability to understand and utilize data.

Question 3

Is DataHub a standalone application or a library for developers?

Accepted Answer

DataHub offers dual functionality: it can be deployed as a standalone Model Context Protocol (MCP) server for clients like Claude Desktop or Cursor, or integrated as a composable Go library into your own custom applications and services.

Question 4

What kind of metadata can DataHub help me access?

Accepted Answer

DataHub provides access to a rich set of metadata, including dataset, dashboard, and pipeline search results, detailed schemas with field types, upstream/downstream data lineage, glossary terms, tags, domains, and data product details.

Question 5

Can I use DataHub with multiple DataHub server instances?

Accepted Answer

Yes, DataHub supports configuring and switching between multiple DataHub server connections, allowing you to seamlessly manage and query metadata from various production, staging, or departmental instances.

DataHub

DataHub

Key Features

Use Cases

Key Features

Use Cases