An MCP server that gives Claude structural understanding of a codebase—dependency graph, entry points, complexity ranking, and import cycles—without reading every file into context.
An MCP server that indexes local code repositories, extracting symbols and call graphs to give Claude precise, structural answers with real file paths and line numbers. Runs entirely locally with no network requests, for privacy-focused code understanding.
MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.
Local-first codebase context engine that parses code into a ranked dependency graph and serves it to AI tools via MCP for deep structural understanding.