codanna vs code-graph-mcp
codanna: Codanna provides 'X-ray vision' for AI code assistants, enabling them to understand code structure, trace relationships, and find implementations with precision. It facilitates context-first coding, eliminating the need for manual searching and speeding up R&D and pair programming workflows.; code-graph-mcp: code-graph-mcp is a high-performance server that builds a structured knowledge graph of your codebase for AI coding assistants. It offers multi-language AST parsing, semantic search, call graph traversal, and HTTP route tracing to provide deep code understanding and optimize LLM context usage.
TL;DR
Instantly find where a function is called and trace its call graph.
Perform impact analysis to understand the consequences and blast radius of proposed code changes.
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