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codexray
NeuralRays February 7, 2026
4 copies 0 downloads
X-ray vision for your codebase — semantic knowledge graph & MCP server with 16 tools that saves AI coding agents 30%+ tokens. TF-IDF search, call graphs, impact analysis, dead code detection. Works with Claude Code, Cursor & Windsurf.
Agent Definition
# CodeXRay [](https://www.npmjs.com/package/codexray) [](https://opensource.org/licenses/MIT) [](https://nodejs.org/) [](https://www.typescriptlang.org/) [](https://modelcontextprotocol.io/) [](https://github.com/NeuralRays/codexray) [](https://github.com/NeuralRays/codexray/pulls) [](https://github.com/NeuralRays/codexray/commits/main) [](https://github.com/NeuralRays/codexray) **X-ray vision for your codebase** — semantic knowledge graph that saves AI coding agents **30%+ tokens** and **25%+ tool calls**. Zero config, zero API keys, 100% local. > **One `codexray_context` call replaces 5-10 file reads.** Your AI agent queries a pre-built knowledge graph instead of scanning files one by one. <details> <summary><b>See the token savings in action</b></summary> ### Without CodeXRay (typical Claude Code session) ``` You: "Fix the authentication bug in the login flow" Claude Code: 1. grep "auth" across codebase → 800 tokens 2. Read auth/middleware.ts → 1,200 tokens 3. Read auth/service.ts
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