Context Crystallizer is an MCP-enabled AI Context Engineering tool that transforms massive repositories into crystallized, AI-consumable knowledge through systematic analysis and optimization. It scans the repository, automatically respecting .gitignore patterns, and skips common build directories (node_modules, dist, build, .git). It filters out binary files and very large files (>1MB). The process follows a simple three-step workflow: Initialize (prepare for crystallization), Crystallize (AI analyzes each file to extract meaningful knowledge), and Search (retrieve crystallized contexts). It exposes an MCP-based toolset (11 crystallization tools) for conversation-driven crystallization: guidance, initialization, file sequencing, storage, progress monitoring, search, bundling, dependency discovery, complexity filtering, quality validation, updates, and more. It also provides a CLI interface for developers to run guidance, init, progress, search, bundle, related, validate, update, and mcp commands. Crystallized contexts are persisted under .context-crystallizer/. The server supports Claude Desktop integration and can connect to MCP-compatible clients, offering a token-efficient, AI-optimized knowledge base to assist with large-scale code understanding.