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Give AI private, zero-config understanding of your local codebase architecture.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-architect" yet — see the docs or source repo.
Using the current codebase architecture, summarize the main modules, directory responsibilities, core dependencies, and identify the entry points and key service boundaries.
A clear architectural overview that helps the user quickly understand how the codebase is organized.
I plan to modify the user authentication flow. Based on the codebase architecture, analyze the likely affected modules, call chains, configuration points, test areas, and potential risks.
A change impact analysis listing related modules, risk areas, and recommended validation steps.
Review the current codebase architecture, identify areas with high coupling, unclear responsibilities, or messy boundaries, and provide actionable refactoring suggestions with priorities.
A prioritized set of architectural improvement recommendations to guide future refactoring.
Give AI coding agents structured access to project architecture and decisions.
Navigate codebases with architecture-aware symbol lookup and layered structural analysis.
Manage project architecture, modules, and data flows locally with full privacy.
Explore a local codebase read-only and answer questions with file-line citations.
Analyze software architecture through natural language exploration of components and data flows.
Build local codebase memory for AI agents with search and architecture inspection.