DataHub
DataHub's MCP server gives AI agents the enterprise context they need to work with your data. Surface curated knowledge — runbooks, FAQs, business definitions, and vocabularies — so agents operate with the same shared understanding as your teams. Search across datasets, dashboards, and pipelines, then pull ownership, governance policies, quality signals, and documentation to understand what you're looking at. Trace lineage at the table and column level. Surface real SQL queries to see how data is actually used. Apply tags, glossary terms, owners, and descriptions at scale. The context layer that makes AI agents enterprise-ready.
- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Data Catalog, Governance & Observability
- Secondary Subcategories
- Business Data & Low-Code AppsCloud Data Warehouses & Query EnginesCode Repositories & Code SearchData Warehouses, BI & AnalyticsSelf-Serve BI & Conversational Analytics
- Brand
- DataHub
- Access
- Account required
- First tracked
- 2026-06-07
- Tool count
- 34
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedDataHub in Data Catalog, Governance & Observability
What we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 57.1/100 - Diagnostic
Found
· 23.4/100 - Diagnostic
Positioned
· 70.6/100
Competing in Claude Data Catalog, Governance & Observability
View CategoryWhat does 57/100 mean?
57 is DataHub's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 57.1% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found DataHub in connector search, and Positioned shows where it appeared in the picker.
DataHub is 4 points from Competitive.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
34 tools agents can invoke
How do I improve a Verified connector's discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
What are DataHub alternatives on Claude?
As of 2026-08-14, DataHub competes with dbt, Monte Carlo, Snowflake, Dremio Cloud, BigID, Decube, Hubbl, Rockhopper in Claude Data Catalog, Governance & Observability, ranked by public Discoverability Score.
Where does DataHub rank in Data Catalog, Governance & Observability on Claude?
As of 2026-08-14, DataHub ranks #3 of 9 in Claude Data Catalog, Governance & Observability with a Discoverability Score of 57/100 (Emerging).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.