Searches a DataHub data catalog and returns lineage, schemas, owners and metadata to AI agents, plus real SQL queries for grounded query writing.
Use it now
Keep it with up to 9 other tools you're setting up, then share them all as one link.
Try this first
Ask your assistant, with DataHub MCP connected:
- Search Catalog
Use DataHub MCP to search the DataHub catalog: ‹what you're looking for›
- Get Lineage
Use DataHub MCP to retrieve upstream or downstream lineage for datasets, columns and dashboards: ‹what you're looking for›
- Get Dataset Queries
Use DataHub MCP to fetch real SQL queries: ‹what you need›
Connect it over MCP
{
"mcpServers": {
"datahub-mcp": {
"url": "https://mcp.datahub.com/mcp"
}
}
}claude mcp add --transport http datahub-mcp https://mcp.datahub.com/mcp
uvx mcp-server-datahub@latest
In Grok, ChatGPT and other assistants, add a custom connector with the address https://mcp.datahub.com/mcp (how, step by step).
It may ask you to sign in to DataHub or for a key when you add it; the setup guide says which.
Setup guide: docs.datahub.com/docs/features/feature-guides/mcp
Compare
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- Access
- MCP
- Auth
- OAuth 2.0
- Skills
- 5
Skills
Search Catalog
Searches the DataHub catalog with structured keyword syntax, boolean logic and filters to find tables, columns and dashboards.
Get Lineage
Retrieves upstream or downstream lineage for datasets, columns and dashboards, with filtering and hop control.
Get Dataset Queries
Fetches real SQL queries that reference a dataset or column to show its joins, filters and aggregation patterns.
List Schema Fields
Lists a dataset's schema fields with keyword filtering and pagination, for exploring large schemas field by field.
Update Metadata
Adds or removes tags, glossary terms, owners and domains on entities and columns when mutation tools are enabled.
