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I built CodeGraphy v2.1 - a Local Context Intelligence Platform & MCP Server with an interactive architecture graph that cuts LLM token usage by 85%
- I built it because every time a codebase grows past 20–30 files, AI assistants either burn through token limits in 3 prompts or suffer from "lost in the middle" hallucinations.
- What CodeGraphy v2.1 does: ⚡ 1-Click Project Analysis & Living Graph: Point it at a local folder — it parses AST & imports, groups modules cleanly, and builds a Pure Graphite interactive dependency graph. 🔌 Built-in MCP Server (STDIO, 11 Tools): One-click config for Claude Desktop & Cursor ( get_architecture_summary , build_smart_context , analyze_change_impact , get_architecture_diff , search_symbols …
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