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.
Features
Category
Open the Claude listing: https://claude.com/marketplace/connectors/datahub. Choose Add to Claude and follow the publisher’s setup instructions. The published connector URL is https://mcp.datahub.com/mcp. Sign-in: Required. Publisher documentation: https://docs.datahub.com/docs/features/feature-guides/mcp. Availability depends on your plan, region, and workspace settings. This integration has not been authenticated or functionally tested here.
accept_or_reject_proposals
add_owners
add_related_terms
add_structured_properties
add_tags
add_terms
compare_glossary_term_versions
create_glossary_term
create_glossary_term_version
draft_sql_for_tables
get_dataset_queries
get_entities
get_glossary_term_versions
get_lineage
get_lineage_paths_between
get_me
grep_documents
list_lifecycle_stages
list_pending_proposals
list_schema_fields
note_metadata_observation
propose_create_glossary_term
propose_lifecycle_stage
remove_domains
remove_owners
remove_structured_properties
remove_tags
remove_terms
save_document
search
search_documents
set_domains
set_lifecycle_stage
update_description
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