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Generate ranked code structure maps to quickly understand unfamiliar codebases.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repomap-mcp" yet — see the docs or source repo.
Generate a ranked code structure map for this repository within a 4000-token budget, and highlight core modules, entry points, and key dependencies.
A concise code structure overview with high-priority files, module relationships, and a suggested reading order.
Based on the repository structure analysis, list the 10 most critical files or modules and explain which parts are highly coupled and should be refactored first.
A prioritized refactoring checklist explaining key modules, their importance, and potential issues.
Extract the most useful structured context from this codebase for an AI assistant, keep it within 3000 tokens, and optimize it for debugging and feature changes.
A codebase summary ready to pass to an AI, highlighting key files, call paths, and essential context.
Analyze code structure and Git history while drastically reducing AI token usage.
Build a knowledge graph from repos for Q&A and implementation planning.
Give AI coding agents persistent code memory while cutting token usage dramatically.
Help AI agents navigate, search, and understand codebases and change history.
Index a monorepo into a graph for fast code structure queries.
Use AI to understand codebases, key files, and project flows quickly.