Release8.1.0.1

This release introduces a new MCP integration capability that enables organizations to connect AI applications and MCP-compatible clients with OvalEdge, extending governed metadata, lineage, glossary, profiling, and governance insights into conversational AI experiences while preserving existing security controls.

Key Highlights

MCP (Model Context Protocol)
- MCP Integration: Enabled integration between customer-selected AI applications, MCP-compatible clients, and the OvalEdge MCP Server, allowing users to access OvalEdge business capabilities through conversational AI.
- Metadata Discovery: Added natural language search capabilities for cataloged assets using semantic and keyword-based discovery to simplify metadata exploration.
- Business Glossary Access: Enabled retrieval of glossary terms, definitions, and associated assets directly through AI-powered interactions.
- Lineage & Relationship Exploration: Added support for discovering upstream and downstream lineage, as well as entity relationships, to improve impact analysis and data understanding.
- Profiling & Governance Insights: Enabled access to column profiling statistics, ownership details, classifications, certifications, stewardship information, and data quality context through conversational queries.
- Platform Knowledge Search: Added the ability to search OvalEdge documentation and product knowledge using natural language.
- Security & Compliance: Ensured all MCP requests respect existing user permissions, access controls, and governance policies while providing access only to governed metadata and not raw data.

Release Details:

Release Type

Release Version

Build <Release. Build Number. Release Stamp>

Build Date

Hotfix Release

Release8.1.0.1

Release8.1.0.181014774bd

30 April, 2026

MCP (Model Context Protocol)

Integrate Customer Applications with OvalEdge MCP for AI-Powered Data Governance

Organizations can now integrate their preferred AI applications and MCP-compatible clients with the OvalEdge MCP Server to access governed metadata, business glossary content, lineage, profiling information, and platform documentation through conversational AI. This integration enables external applications to leverage OvalEdge’s business capabilities while maintaining existing security and access controls.

The OvalEdge MCP Server exposes business and governance capabilities through standardized MCP interfaces, allowing AI assistants, copilots, enterprise applications, and agentic workflows to interact with organizational metadata using natural language.

Key capabilities include:

Connect MCP-compatible applications and AI assistants to OvalEdge using a standardized integration framework.
Search cataloged assets using natural language through semantic and keyword-based discovery.
Retrieve detailed metadata, ownership, classifications, and governance information for data assets.
Access Business Glossary terms, definitions, and associated data assets.
Explore upstream and downstream lineage relationships to understand data movement and impact.
Discover entity relationships between database objects to support data exploration and analysis.
View column profiling statistics and metadata insights.
Search the OvalEdge platform documentation and product knowledge through conversational queries.
Access governance context such as ownership, stewardship, classifications, certifications, and data quality information alongside metadata responses.

Security and governance:

All requests are executed using the authenticated user’s permissions.
Metadata visibility continues to follow existing OvalEdge access controls and governance policies.
The MCP Server provides access to governed metadata without exposing raw data.
Organizations can enable AI-driven discovery and governance workflows while maintaining security and compliance requirements.

Was this helpful?