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Ask natural-language questions over codebases with citations and impact analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeRAG" yet — see the docs or source repo.
Find the core implementation of the user login flow in this codebase, explain the main call chain, and include file:line citations.
Returns relevant files and line numbers, key function relationships, and a brief explanation of the login flow.
If I change the order status enum definition, analyze the potentially affected modules, call chains, and related files, with file:line citations.
Outputs a list of affected components, potentially impacted call paths, and line-numbered evidence.
How is authorization implemented in this project? Explain the main logic with relevant code locations and file:line citations.
Provides a natural-language explanation of the authorization mechanism with cited code locations.
When developers inherit a new project, they can ask natural-language questions about key modules, call relationships, or implementation locations to build understanding faster. The tool returns answers with code retrieval and citation support.
Before changing a core function, data structure, or interface, developers can analyze the potential impact scope and inspect related call chains and affected files. This helps reduce omissions and regression risk.
When discussing whether an implementation is appropriate, teams can use the tool to gather relevant code locations and context with file:line citations for evidence-based review. It helps support review rather than replace human judgment.
It is an MCP tool for natural-language Q&A over codebases. According to the description, it uses AST-aware chunking, hybrid retrieval, reranking, and call-graph expansion, and provides file:line citations plus impact analysis.
It can return answers with file:line citations and support impact analysis. That means it not only answers questions but also points to code locations and related impact scope.
The provided material does not include installation steps, runtime requirements, or API key details. Please see the source repository.
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