Decube
Data Context for Governance Team
- Category
- Data & Analytics
- Primary Subcategory
- Data Catalog, Governance & Observability
View in the Claude registryIntegration details
Description
Decube MCP Server gives AI assistants direct, live access to governed context about your data, turning confident guesses into confidently right answers. Instead of asking a separate dashboard, teams query trusted context directly inside the tools they already use: Data Analysts can check whether a table is current, complete, or duplicated before reporting on it, and pull governed metric definitions on demand. Data Engineers can trace real upstream to downstream lineage before a schema change, find ownership gaps, write context back into Decube, and run automated checks in the CI pipeline via a pre-push git hook. Data Governance teams can run PII sweeps, check regulation compliance readiness (APRA, DORA, and similar regimes), and confirm every sensitive asset has an accountable owner, all without waiting on a manual audit cycle.
- Integration type
- Connector
- Verification status
Community connector- Platform
- Claude
- Primary Subcategory
- Data Catalog, Governance & Observability
- Secondary Subcategories
- None listed
- Brand
- Decube
- Access
- Account required
- First tracked
- 2026-07-16
- Tool count
- 33
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Claude Discoverability Score
Claude Connector discovery is coming soon
Community Connectors only appear in Claude’s registry.Once verified, organic discovery begins and we can calculate your score.Read more about Community Connector verification.
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What discovery looks like
Claude can surface verified Connectors when they match a user’s Prompt.
How Claude Connector discovery works
Your Connector will compete to appear for users’ Prompts once Claude verifies it
Competing in Claude Data Catalog, Governance & Observability
View Category33 tools agents can invoke
How do I improve a Community 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 Decube alternatives on Claude?
As of 2026-09-29, Decube competes with DataHub, dbt, Snowflake, 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, Hubbl, Matia MCP, OSO in Claude Data Catalog, Governance & Observability, ranked by public Discoverability Score.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.