Data Intelligence MCP Server

Use this skill to explore upstream/downstream data lineage and historical lineage changes through a guided 3-phase workflow - asset identification → lineage graph traversal → historical version comparison. Handles both direct lineage search and catalog-first lookup with ID conversion. Triggers when user asks about data relationships, sources, or consumers using phrases like - "what feeds", "what feeds into", "what feeds in", "where does X come from", "what sources", "what produces", "upstream", "downstream", "lineage", "impact analysis", "data pipeline", "trace this data", "what depends on", "what consumes", "what changed", "data flow", "source to target", "pipeline history", "lineage changes", "show lineage for", "get lineage of", "what is impacted"

Use this skill to orchestrate a 4-phase data cataloging or metadata onboarching and metadata enrichment workflow i.e. project setup → connection configuration → metadata import → metadata enrichment. The user can choose to start from any phase and the skill will guide them through the remaining phases.

Use this skill when a user wants to create, publish, or set up a new data product in IBM watsonx.data intelligence (wxdi) / Data Product Hub. Trigger when the user says things like "create a data product", "publish a dataset as a data product", "I want to share this data as a product", "set up a data product for X", "onboard this asset to the catalog as a product", or "build a data product from my data". This skill uses a file-based specification approach where data product definitions are created as JSON/YAML files in the workspace, reviewed and refined iteratively, then batch-submitted to DPH. This enables version control, collaboration, and reusability.