Release8.1.0.1

This release introduces a new integration that extends secure data discovery and governance access to AI-powered environments, enabling users to interact with metadata and lineage in natural language while maintaining strict access controls.

Key Highlights

• MCP Server Integration:

  • Introduced MCP (Model Context Protocol) Server to enable secure AI-based access to Data Catalog and governance information from tools such as Claude Desktop, Visual Studio Code, and enterprise copilots.

  • Enabled users to search catalog assets, view glossary definitions, explore lineage, and access governance details using natural language directly from AI clients, eliminating the need to navigate within the application.

  • Added support for semantic search across OvalEdge documentation, allowing users to quickly find relevant how-to guidance and product information.

  • Ensured all MCP Server interactions operate in read-only mode using the logged-in user’s permissions, preventing data exposure and restricting access to governed metadata only.

  • Extended OvalEdge governance capabilities into AI-driven workflows while maintaining compliance, data security, and role-based access controls.

Release Details:

Release Type	Release Version	Build <Release. Build Number. Release Stamp>	Build Date
Hotfix Release	Release8.1.0.1	Release8.1.0.181014774bd	April 30, 2026

askEdgi - MCP

MCP Server Integration for Secure AI-Based Data Discovery

OvalEdge introduces an MCP (Model Context Protocol) Server to enable secure access to Data Catalog and governance information through AI tools such as Claude Desktop, Visual Studio Code, and enterprise copilots. Earlier, accessing this information required users to log in to OvalEdge and manually search for assets, glossary terms, or lineage details within the application.

With this integration, users can now interact with OvalEdge directly from AI clients using natural language. The MCP Server allows users to search catalog assets, view glossary definitions, explore lineage, and access governance details such as ownership, certification, and data quality scores—all without leaving their AI tool. It also supports semantic search across OvalEdge documentation, making it easier to find how-to guidance.

The server operates in a secure, read-only mode where all requests are executed using the logged-in user’s permissions. It does not expose raw data or allow modifications, ensuring that only metadata and governed information are shared. This approach maintains strict access control while enabling seamless integration with AI-driven workflows.

This capability helps users discover, understand, and trust data more efficiently, while allowing organizations to extend OvalEdge’s governance features into modern AI-based environments without compromising security.

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