File Level Code Summarization And Structural Analysis

via “file-level code summarization and structural analysis”

A Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup

Unique: Generates summaries by parsing AST rather than regex or heuristics, ensuring accurate symbol extraction even in complex nested code. Output is optimized for LLM consumption (JSON-structured, concise) rather than human reading.

vs others: More accurate than comment-based summaries because it extracts actual code structure; more efficient than sending full file content because summaries are 5-20% of original size while retaining 90% of structural information.