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Manage project architecture, modules, and data flows locally with full privacy.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Architector" yet — see the docs or source repo.
Create an architecture record for my web app with frontend, backend, database, and auth service modules, and describe their dependencies and main responsibilities.
A structured architecture record listing modules, responsibilities, and dependencies clearly.
Save this system data flow: after a user submits an order, the order service writes to the database, the message queue notifies inventory and payment services, and the result is returned to the frontend.
A traceable data flow description showing key nodes, processing order, and service interactions.
Save three usage examples for the authentication module, including user login, token refresh, and logout, with inputs, outputs, and applicable scenarios.
A standardized module example library for team reuse and reference.
Analyze project architecture and detect similar code patterns for cross-language consistency.
Navigate codebases with architecture-aware symbol lookup and layered structural analysis.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Manage task records and seeded documents locally through controlled MCP tool functions.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Build, debug, and manage software tasks with natural language across LLMs.