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In a large org, finding out which dataset or table actually has the data you need can eat an afternoon of asking around. Dataplex connected to Neotask turns that into a search: the agent browses Dataplex's Knowledge Catalog metadata to surface matching datasets, tables, and AI assets, along with lineage where it's tracked.
| Dataplex MCP server | Search and browse Google Cloud Dataplex (Knowledge Catalog) metadata to discover datasets, tables, and AI assets across an organization. Look up lineage and enriched metadata for governed data discovery. |
Ask "is there an existing dataset with customer churn data?" and the agent searches Dataplex's catalog for matching assets, returning names, owners, and lineage so you're not duplicating an existing table.
Search and browse Google Cloud Dataplex (Knowledge Catalog) metadata to discover datasets, tables, and AI assets across an organization. Look up lineage and enriched metadata for governed data discovery.
It's for discovery — metadata, lineage, and asset location. Pulling the underlying data happens through whichever system hosts it.