Generates a comprehensive context map of your codebase to reduce token usage for AI coding assistants. Provides 12 MCP tools for exploring project structure, dependencies, and generating wiki knowledge bases.
Provides AI assistants with a structured, token-efficient map of a codebase's symbols, dependencies, and relationships via MCP tools like overview, query, and impact analysis.
Provides AI coding agents with durable architecture memory for repositories by generating structured project maps of responsibilities, relationships, and risks.
Gives your AI coding agent a bounded map of an unfamiliar TypeScript SaaS repo: where the code lives, what's risky to touch, and where the money / auth / user flows are. Provides eight MCP tools for orientation, task focus, risk assessment, and SaaS-specific observations without AST or type checking.
Generates structured project memory and exposes MCP tools for AI coding agents to query topology, read relevant files, and log changes in a repository.
