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DataHub

Connect AI agents to enterprise data & context

Category
Data & Analytics
Primary Subcategory
Data Catalog, Governance & Observability
View in the Claude registry
Integration details

Description

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
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.

Secondary Subcategories
Cloud Data Warehouses & Query EnginesSelf-Serve BI & Conversational Analytics

Other Subcategories where the Integration is listed.

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

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Claude Discoverability Score

Live · refreshed daily. Last refreshed

DataHub in Data Catalog, Governance & Observability

52/100
Emerging

#1of 23competitors

Shown to buyers in 52.3% of contested Runs.

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 52.3/100
    Sets the score

  • Found

    · 22.7/100
    Diagnostic

  • Positioned

    · 55.8/100
    Diagnostic
How this score is measured

DataHub organic discovery report

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See how DataHub appears in Data Catalog, Governance & Observability, where it ranks, and how it compares with the wider Claude Connector ecosystem.

01

Your snapshot

DataHub's score and Data Catalog, Governance & Observability position

02

Industry report

State of Agent Discovery

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Primary Subcategory

Competing in Claude Data Catalog, Governance & Observability

View Category
#1 of 23ranked by public Discoverability Score
Primary Subcategory
1DataHub52/100
2Snowflake48/100
3dbt47/100
4Google Cloud BigQuery34/100
5Neon31/100
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
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 2026-09-28, DataHub competes with Snowflake, dbt, Google Cloud BigQuery, Neon, PlanetScale, Supabase, ClickHouse, MotherDuck, Datadog, Monte Carlo, Omni Analytics, incident.io, Informatica Catalog Discovery, Informatica Data Exploration, Rockhopper, atlan, Avo, BigID, Decube, Hubbl, Matia MCP, OSO in Claude Data Catalog, Governance & Observability, ranked by public Discoverability Score.

Where does DataHub rank in Data Catalog, Governance & Observability on Claude?

As of 2026-09-28, DataHub ranks #1 of 23 in Claude Data Catalog, Governance & Observability with a Discoverability Score of 52/100 (Emerging).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.