# Release8.1.0.2

This release introduces key enhancements and bug fixes across askEdgi - MCP and Connectors, improving AI-driven governance access, metadata discovery, and profiling consistency across integrated platforms. 

**Key Highlights**

* **askEdgi - MCP**:
  * Added Model Context Protocol (MCP) integration to enable secure connectivity between AI applications and OvalEdge governance capabilities through Local MCP and Remote MCP deployment modes. 
  * Enabled secure AI-assisted access to governed metadata, glossary terms, lineage, relationships, documentation, and data quality scores while enforcing user-level access controls.  
* **Connectors (Salesforce)**: Fixed inconsistent profiling results for empty Salesforce tables, ensuring uniform profiling status updates and accurate profile date tracking for tables with zero records. 

**Release Details**:

<table><thead><tr><th width="136.333251953125">Release Type</th><th width="152.3333740234375">Release Version</th><th width="347.6666259765625">Build &#x3C;Release. Build Number. Release Stamp></th><th width="141.333251953125">Build Date</th></tr></thead><tbody><tr><td>Hotfix Release</td><td>Release8.1.0.2</td><td>release8.1.0.2.81025e63ff7<br></td><td>May 15, 2026<br></td></tr></tbody></table>

## askEdgi - MCP

### New & Improved

**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.&#x20;

The solution is available in two deployment modes:&#x20;

* 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 such as ownership, certification status, classifications, lineage details, and data quality scores.

## Connectors

### Fixed

**Resolved Inconsistent Profiling Status for Empty Salesforce Tables**&#x20;

In the Salesforce connector, an issue where tables with zero records showed different profiling results has been resolved. Some tables with no data displayed a profiling status of Failed, while others showed Success under the same conditions. In some cases, the last profile date was also not updated after profiling.

The profiling process has been corrected to ensure consistent status results and proper profile date updates for tables with zero records.

***

Copyright © 2026, OvalEdge LLC, Peachtree Corners, GA, USA.<br>


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