codebase-memory-mcp: codebase-memory-mcp is a structural analysis backend that indexes codebases into a persistent knowledge graph, drastically reducing token usage for code exploration by providing precise structural results. It integrates with AI assistants like Claude Code, offering advanced capabilities such as call graph tracing, architecture overviews, and dead code detection.; codeindex: codeindex is a dependency analyzer that builds a blast-radius impact score for every file in your repo — showing which files will break if a given file changes. It also generates a symbol index mapping every function and class to its exact file and line number, so AI tools can locate any symbol in one lookup without scanning the whole codebase. Supports 12+ languages, zero required dependencies (pure Python stdlib), and five consumption modes including CLI, MCP server, and CLAUDE.md injection.
Code exploration and understanding: Quickly understand codebase architecture, find functions, and trace call paths without high token costs.
Assessing refactoring risk before touching a high-impact file