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Generate a structural codebase graph so LLMs can navigate projects accurately.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.James-Chahwan/repo-graph" MCP server from askskill: Run: claude mcp add 'io-github-james-chahwan-repo-graph' -- uvx mcp-repo-graph
Generate a structural graph for this codebase and explain the relationships among directories, modules, and key files.
A structured graph or hierarchical map of the codebase that helps users quickly understand project organization.
Using the codebase structure graph, identify the modules and entry files most likely related to user authentication.
A list of the most relevant directories, modules, or files for the target functionality, reducing blind searching.
Based on the structure graph, briefly introduce the main parts of this repository and suggest a reading order.
A beginner-friendly overview of the repository structure and a suggested reading path.
Developers can generate a structural graph before asking an LLM to analyze a repository, so the model reasons from real module relationships instead of guessing. This is especially useful for large or unfamiliar projects.
When you need to quickly understand how a repository is organized, this tool provides a structural view that highlights relationships among directories, modules, and key files. It is useful for initial architecture mapping.
It creates a structural graph for any codebase so an LLM can navigate and understand the project based on actual structure rather than guesswork.
It is best suited for developers who need to analyze, read, or use LLMs on codebases, and it can also help with research or learning unfamiliar project structures.
The provided materials do not include installation steps, runtime requirements, or key setup details. See the source repository.
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