mcp-datahub
MCP server for DataHub data catalogs. Discover datasets, explore lineage, and access metadata.
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Source: Glama · also listed on ModelScope
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These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
datahub_browseBrowse the DataHub catalog by category. Set what=tags to list tags, what=domains to list data domains, or what=data_products to list data products. Use the optional filter parameter (tags only) to narrow results.
datahub_get_data_productGet full details of a data product including its constituent datasets, owners, and domain. Data products group related datasets for a specific business use case. Use after datahub_browse with what=data_products to drill into a specific product and discover all its member datasets. Useful for answeri…
datahub_get_entityGet comprehensive metadata for a DataHub entity including description, owners, tags, glossary terms, domain, deprecation status, quality score, and custom properties. Use this when you need the FULL metadata picture for a specific dataset — especially ownership, quality scores, and deprecation warni…
datahub_get_glossary_termGet the full definition of a business glossary term and all datasets/columns linked to it. Use when enrichment surfaces a glossary_term URN and you need the detailed definition, or when a user asks "what does [business term] mean?" Returns the canonical business definition plus all tables and column…
datahub_get_lineageGet upstream or downstream lineage for a DataHub entity. Set level=column for column-level lineage showing which upstream columns feed each downstream column. Default (dataset) returns dataset-level relationships with direction and depth control. When a QueryProvider is configured, includes executio…
datahub_get_queriesGet saved SQL queries linked to a dataset — including view definitions, common query patterns, and example queries. For database views (v_* prefix), this returns the actual view SQL showing all joins and transformations. Essential for understanding how derived data is built. Also useful for showing …
datahub_get_schemaGet the schema (fields, types, descriptions) for a dataset. Returns query_table (resolved table path) when QueryProvider is configured. For row counts and query examples, use datahub_get_entity instead.
datahub_list_connectionsList all configured DataHub server connections. Use this to discover available connections before querying specific servers. Pass the connection name to other tools via the 'connection' parameter.
datahub_searchSearch for datasets, dashboards, pipelines, and other assets in the DataHub catalog. This should be your FIRST tool when answering data questions — use it to discover relevant datasets before querying. Results include query_context showing which datasets are queryable in Trino and their resolved tab…
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