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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.

View in the Claude registry
Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Data Catalog, Governance & Observability

The Primary Subcategory used for this profile’s headline score.

Brand
DataHub
Access
Account required
First tracked
2026-06-07
Tool count
34
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

DataHub in Data Catalog, Governance & Observability

57/100
Emerging

#3of 9competitors

Shown to buyers in 57.1% of contested Runs.

How this score is measured

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 57.1/100
    Sets the score
  • Found

    · 23.4/100
    Diagnostic
  • Positioned

    · 70.6/100
    Diagnostic
Primary Subcategory
#3 of 9ranked by public Discoverability Score
Primary Subcategory
1dbt81/100
2Monte Carlo76/100
3DataHub57/100
4Snowflake33/100
5Dremio Cloud19/100
Score explained

What 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.

InvisibleBuriedEmergingCompetitiveWinning

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.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

34 tools agents can invoke

DataHub FAQ
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.