An MCP server that provides AI assistants with deep architectural understanding of codebases, including tech stack overview, dependency graphs, cycle detection, and risk analysis—all locally without API keys.
kannajune/mcp-architect is an MCP (Model Context Protocol) server that enhances AI assistants with comprehensive architectural understanding of codebases. It analyzes code structure and generates detailed insights about how your project is organized, what technologies are used, and how different components interact.
The tool automatically detects and visualizes internal dependency graphs, identifies circular dependencies that could cause issues, pinpoints risk hotspots in your codebase, and generates summaries for individual modules. This enables AI assistants to have contextual awareness when helping with code analysis, refactoring, or architecture decisions.
Installation is zero-config and straightforward: Run uvx mcparchitect from your command line. The server runs locally on your machine, requires no API keys, and no additional configuration. It integrates directly with MCP-compatible AI assistants like Claude.
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