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, run_impacted_tests).
• 🧬 Smart Hybrid Context (~85% Token Budget): Keeps your target file in Full Mode while compressing connected neighbor modules down to AST interface skeletons, with provenance tracking and automatic secret scrubbing.
• 💥 Blast Radius & Git Architecture Diff Overlay: Visually see 1-hop and 2-hop impact zones before you refactor, overlay uncommitted Git diffs directly on the graph, and detect cyclic dependencies via Tarjan's $O(V+E)$ algorithm.

It's 100% local-first. I'd your honest feedback, bug reports, or a ⭐ star on GitHub if you find it useful! click