Analyzes GitHub and local repositories to automatically generate visual architectural diagrams such as dependency graphs, class diagrams, and data flow diagrams.
Builds a semantic knowledge graph of C++ code and exposes 9 MCP tools for AI assistants to search classes, functions, inheritance, callers, callees, overrides, and more.
Provides fast C++ code intelligence for LLMs by combining Tree-sitter parsing with clangd LSP for efficient symbol lookup, navigation, and hierarchy analysis. It optionally integrates Google Gemini AI to deliver deeper architectural insights and automated documentation summaries.
Provides precise C++ code semantic analysis for AI coding tools like Claude Code and Cursor by integrating clangd static analysis, enabling symbol definition lookup, reference tracking, and hover information.
Enables AI assistants to generate UML diagrams from text descriptions using PlantUML, supporting multiple output formats (PNG, SVG, PDF), syntax validation, and diagram source extraction.