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Audit code, query knowledge graphs, and generate project docs through MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeRef AI" yet — see the docs or source repo.
Use MCP to perform a static code audit on this repository. Focus on potential security risks, code smells, duplicated logic, and high-complexity modules, then list findings by severity with fix recommendations.
A prioritized findings report with risk explanations, impacted areas, and actionable remediation advice.
Query the project's knowledge graph and tell me which services the authentication module depends on, how the core data flow moves, and where the related files and function entry points are.
A structured overview of dependencies and architecture, including key modules, call chains, and code location references.
Generate a documentation set from the current codebase, including project overview, setup steps, folder structure, main module responsibilities, common development workflows, and API usage notes.
A well-structured documentation draft ready for a README or internal knowledge base.
Analyze codebases, generate project docs, and map knowledge for better AI context.
Search and navigate multiple code repositories with natural language understanding.
Search codebases semantically and find relevant snippets with source locations.
Embed your codebase for fast semantic search with Graph RAG.
Generate, search, and maintain codebase documentation for faster team development.
Query code structure and cross-language relationships via MCP with auditable access logs.