The Catalog Enrichment server allows your AI agents to enrich and curate enterprise data assets in Cloud Data Governance and Catalog (CDGC).
Preview Notice:
Effective in the July 2026 release, the Catalog Enrichment server is available for private preview. Preview functionality is supported for evaluation purposes but is unwarranted and is not supported in production environments or any environment that you plan to push to production. Informatica intends to include the preview functionality in an upcoming release for production use, but might choose not to in accordance with changing market or technical circumstances. Note that if you are working on a preview POD, all data is excluded from SOC 2 compliance coverage. For more information, contact Informatica Global Customer Support.
Use this MCP server to enrich and curate enterprise data assets within Cloud Data Governance and Catalog. Use write-capable tools to manage data classifications, link business glossary terms, and update business metadata on catalog assets. These operations ensure data is properly governed, classified, and contextualized for enterprise consumption.
Key capabilities
This MCP server offers the following key capabilities:
•Data classification management. Adds, removes, or edits data classifications on technical assets with curation status tracking. Examples of data classifications are data entity, data element, and document. The curation statuses are ACCEPTED and REJECTED.
•Business metadata updates. Updates business names and descriptions on technical assets to bridge the gap between technical naming and business understanding.
•Business glossary linking. Associates or disassociates business glossary terms to or from technical assets to provide business context and meaning.
•Curation workflow. Supports ACCEPTED or REJECTED curation statuses for governance approval workflows.
Use cases
Use this MCP server to address the following use cases:
•Data classification. Classify sensitive data assets for compliance and data protection. Examples of sensitive data assets are personally identifiably information (PII), financial data, and health data.
•Metadata curation. Provide human-readable business names and descriptions for cryptically-named technical assets.
•Business context enrichment. Link glossary terms to technical assets so consumers understand their business meaning.
•Governance automation. Enable AI-driven governance workflows to classify, contextualize, and curate at scale.
Tools
The following table describes the tools available on this MCP server:
Tool
Description
edit_data_asset_business_glossaries
Associates, removes, or edits business glossary terms on technical assets. Link glossary terms to assets to provide business context and meaning to technical data.
Use "add" to associate a glossary term with a curation status. Use "remove" to disassociate a glossary term with a curation status. Use "edit" to change the curation status of an existing glossary association.
edit_data_asset_data_classifications
Associates, removes, or edits data classifications on technical assets.
You can connect technical assets to the following types of classifications:
- Data entity classifications. Use for data sets and tables.
- Data element classifications. Use for columns and fields.
- Document classifications. Use for documents.
Use "add" to associate a classification with a curation status. Use "remove" to disassociate a classification with a curation status. Use "edit" to change the curation status of an existing classification.
update_asset_business_metadata
Updates the business name and description of technical assets. You must provide "businessName," "businessDescription," or both.
Business names provide human-readable labels for cryptically-named technical assets. For example, you might give "ORA_CUST_TBL" the business name "Customer Master Table." Descriptions explain the business purpose and content of assets.
Note:
In AI Agent Engineering, the MCP server tools are called "actions."