Faster access to architecture knowledge: Architects can retrieve repository knowledge through natural language questions, reducing the time spent navigating views, reports, and object details to find relevant information.

More precise architecture investigations: Architects can ask targeted questions about applications, capabilities, processes, technologies, or projects and receive focused answers that help them investigate specific architecture concerns more efficiently.

Clearer understanding of dependencies: By exploring relationships between applications, capabilities, processes, technologies, and projects, architects can better understand cross-domain dependencies and the broader context of change.

Faster synthesis for architecture reviews: Architects can quickly scope, summarize, and interpret subsets of repository data, making it easier to prepare review materials, answer stakeholder questions, and support governance activities.

Improved impact and change assessment: The MCP Server helps architects trace dependencies across the repository, making it easier to assess the potential impact of change, identify affected areas, and support transformation planning.

Better interpretation and analysis of architecture views: Architects can use diagrams alongside textual answers to better understand repository content. When diagrams are available in an interpretable format, AI agents can derive key elements, visible relationships, and structural insights, helping architects explain views and communicate findings more clearly.