> For the complete documentation index, see [llms.txt](https://docs.ovaledge.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ovaledge.com/release8.1/mcp-server/whats-new.md). # 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 features and 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. ## June 16, 2026 ### Enhanced Asset Search and Association Discovery through MCP The search\_catalog\_assets MCP tool has been enhanced to provide more flexible search and discovery capabilities across catalog assets. Users can now search for assets by their associations with Tags, Business Terms, Data Products, and Custom Fields, making it easier to discover related information with a single query. The enhancement also adds support for Connectors as a searchable asset type, allowing users to discover and explore connection-related assets alongside other catalog objects. Users can: * Search for assets associated with specific Tags, Business Terms, Data Products, or Custom Fields. * Find all assets linked to a selected Tag, Business Term, Data Product, or Custom Field. * Search and retrieve Connector assets as part of catalog discovery. * View assets related to a specific connector. * Combine keyword search with association-based filters for more precise results. * Continue using existing search, sorting, and pagination capabilities without any changes. The search results also identify the associations that matched the search criteria, helping users understand why a particular asset was returned. ### Metadata Change Analysis for Crawl Comparisons A new MCP governance action (get\_metadata\_changes\_between\_crawls) is now available to help users analyze metadata changes between crawls through AI-assisted conversations. Users can ask questions about how schemas, tables, and columns have changed over time and receive a clear summary of the differences. The tool helps users quickly identify additions, deletions, and modifications without manually reviewing crawl history or comparison reports. Users can: * Compare metadata changes between recent crawls or selected time periods. * Identify schemas, tables, or columns that were added or removed. * Analyze metadata changes using natural language questions. * Receive summarized insights about impacted objects and structural changes. * Navigate directly to the related objects and comparison details in OvalEdge. This enhancement enables data stewards, governance teams, and data consumers to investigate metadata changes more efficiently, monitor schema evolution, and better understand the impact of structural changes across cataloged assets. ### Asset Description Updates through MCP A new MCP governance action, update\_asset\_descriptions, is now available to help users update asset descriptions through AI-assisted conversations. Users can enhance and maintain business and technical documentation directly from their AI workflow, making metadata curation faster and more efficient. The tool supports updating descriptions across catalog and governance assets while ensuring existing permissions and governance policies are respected. Users can: * Update business, technical, detailed, domain, and tag descriptions using natural language requests. * Modify one or multiple descriptions in a single request. * Improve existing descriptions or add missing documentation to assets. * Update descriptions across supported catalog and governance objects. * Navigate directly to the updated asset through a provided application link. The tool validates user permissions before applying changes and ensures that updates adhere to existing governance controls. When a business description is inherited from an associated Business Glossary term, users are informed that the description must be updated at the glossary level to maintain consistency across related assets. ### Governance Role Management through MCP A new MCP governance action (update\_governance\_roles) is now available to help users manage governance responsibilities through AI-assisted conversations. Users can assign, update, or remove governance roles for supported assets without navigating through multiple administration screens. The tool simplifies governance management by allowing users to update roles such as Owner, Steward, Custodian, and other configured governance roles via natural-language requests. Users can: * Assign, update, or remove governance roles for catalog and governance assets. * Update one or multiple governance roles in a single request. * Manage governance responsibilities using conversational prompts. * Receive guidance when role assignments require additional information or clarification. * Automatically apply role updates across related child assets when governance inheritance is enabled. * Navigate directly to the affected asset from the MCP response. The tool also respects existing permissions and governance policies. If a governance role is inherited from an associated Business Glossary term, users are informed that the update must be made at the glossary level to maintain governance consistency. ### Data Story Discovery through MCP A new MCP search and discovery tool (lookup\_datastory) is now available to help users find and explore Data Stories through AI-assisted conversations. Users can search for a Data Story by name and retrieve its content, structure, and related details without manually navigating through Story Zones. The tool enables users to quickly access documented business knowledge and receive answers based on the content stored within Data Stories. Users can: * Search for Data Stories by name or identifier. * View the Story Zone and Data Story details. * Access the content and sections within a Data Story. * Retrieve associated metadata and content structure. * Verify whether a Data Story is accessible based on configured permissions. * View authorized users, roles, and access details associated with the Data Story. * Navigate directly to the Data Story through a provided application link. ### Business Glossary Term Creation through MCP A new MCP governance action (create\_terms) is now available to help users create Business Glossary terms through AI-assisted conversations. Users can define new business terms and add them to the appropriate glossary hierarchy without navigating the Business Glossary interface. The tool simplifies glossary management by guiding users through the term-creation process and ensuring new terms align with existing governance standards. Users can: * Create new Business Glossary terms using natural language requests. * Define the term details, including name, business description, domain, category, and subcategory. * Create terms directly within the appropriate glossary hierarchy. * Receive guidance when additional information is required to determine the correct category or subcategory. * Identify similar existing terms before creating a new one to reduce duplication. * Access the newly created term through a direct application link. The tool also validates user permissions and checks for existing terms to help maintain a consistent and well-governed Business Glossary. ### Tag Creation through MCP A new MCP governance action (create\_tags) is now available to help users create tags through AI-assisted conversations. Users can create business, governance, and classification tags without leaving their AI workflow, making it easier to organize and categorize assets across the platform. The tool guides users through tag creation while ensuring that governance standards and naming conventions are maintained. Users can: * Create new tags using natural language requests. * Define tag details such as the name, description, and classification. * Create tags within the appropriate tag hierarchy when required. * Receive validation to prevent duplicate or conflicting tags. * Follow organizational naming and governance standards when creating tags. * Access the newly created tag through a direct application link. The tool also validates user permissions and checks for existing tags before creation to help maintain a consistent and well-governed tagging structure. ### Native Source System Access Discovery through MCP A new MCP discovery tool (get\_source\_system\_access) is now available to help users understand access permissions that exist directly within supported source systems. Users can identify who has access to specific objects or determine which objects a user can access without manually reviewing source-system permissions. The tool provides a unified view of native access information across Amazon Redshift, Snowflake, and Tableau, making it easier to investigate access, validate permissions, and answer security and governance questions through AI-assisted conversations. Users can: * View the databases, schemas, tables, columns, projects, or reports a user can access. * Identify all users who have access to a specific object. * Understand how access was granted, including direct assignments, group memberships, or role-based access depending on the source system. * View native source-system privileges associated with each access grant. * Analyze access information across supported source systems using a consistent experience. * Retrieve access details through natural language questions. * Navigate from access information to the related source-system objects. The tool uses native source-system permissions and access metadata rather than OvalEdge catalog permissions, providing visibility into the actual access granted within the source platform. ## 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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