What's New

As part of the ongoing evolution of the OvalEdge MCP Server, new capabilities continue to expand how AI clients discover, understand, and govern enterprise metadata.

The enhancements below enable users to interact with governed data assets, business context, and governance workflows through natural-language conversations while maintaining existing security and access controls.

April 30, 2026

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.

OvalEdge MCP Integration for AI Applications

OvalEdge now supports Model Context Protocol (MCP) integration, enabling organizations to connect their preferred AI applications directly with OvalEdge governance and catalog capabilities.

The solution is available in two deployment modes:

• Local MCP for individual users running AI tools on their machines

• Remote MCP for centrally managed enterprise deployments accessible through a secure hosted endpoint.

With this integration, AI applications can securely access governed metadata, glossary terms, lineage, relationships, object data quality scores, and documentation from OvalEdge. Both deployment modes provide the same capabilities while enforcing user-level access controls through the user’s own authenticated session. The MCP server does not expose raw data to external AI tools.

The integration includes workflows for governed search, asset discovery, glossary lookup, lineage tracing, relationship analysis, documentation search, and trust assessment. Users can ask business questions in natural language and receive responses enriched with governance context, including ownership, certification status, classifications, lineage details, and data quality scores.

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