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by MikeRecognex • Uncategorized
An MCP server that indexes codebases structurally for AI-assisted development with zero runtime dependencies.
Navigate and understand large codebases efficiently without reading entire files.
Perform dependency analysis and impact assessment on code changes.
Fast, incremental updates to codebase indexes in git repositories.
MCP Codebase Index parses source files across multiple languages into structural metadata such as functions, classes, imports, and dependency graphs, exposing 18 query tools via the Model Context Protocol. It supports automatic incremental re-indexing in git repositories and persistent disk caching for fast startup. This enables AI assistants to efficiently navigate large codebases without reading entire files, improving response times and reducing token usage.