code-memory: code-memory is a deterministic, high-precision code intelligence layer exposed as a Model Context Protocol (MCP) server, designed to provide accurate and token-efficient code context for LLMs. It runs entirely locally, indexing codebases for semantic search, architecture understanding, and Git history analysis, addressing the cost and inaccuracy of traditional context retrieval methods.; trace-mcp: trace-mcp is a framework-aware code intelligence MCP server that builds cross-language dependency graphs from source code. It enables AI agents to understand framework-specific relationships, track request flows, analyze change impact, and remember past decisions across sessions, significantly reducing token usage.
Finding definitions, references, and understanding code structure within a codebase
Understanding full-stack web applications with cross-language relationships