CodeXRay
by NeuralRays
README.md
# 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 → 1,500 tokens
4. Read auth/types.ts → 600 tokens
5. grep "login" across codebase → 700 tokens
6. Read routes/login.ts → 1,100 tokens
7. Read utils/jwt.ts → 900 tokens
8. Read tests/auth.test.ts → 1,400 tokens
9. grep "validateToken" → 500 tokens
10. Read middleware/validate.ts → 1,000 tokens
─────────────────────────────────────────────────
Total: 10 tool calls, ~9,700 tokens just to FIND the code
```
### With CodeXRay (same task)
```
You: "Fix the authentication bug in the login flow"
Claude Code:
1. codexray_context("authentication login bug")
→ Returns all relevant symbols, code snippets,
call relationships, and file locations
─────────────────────────────────────────────────
Total: 1 tool call, ~2,000 tokens — ready to fix
```
**Result: 80% fewer tokens, 90% fewer tool calls to find relevant code.**
</details>
```
┌─────────────────────────────────────────────┐
│ Claude Code / Cursor │
│ │
│ "Fix the authentication bug" │
│ │ │
│ ┌──────▼──────┐ ┌──────────────┐ │
│ │ Explore Agent│───│ Explore Agent│ │
│ └──────┬───────┘ └──────┬──────┘ │
└───────────┼──────────────────┼──────────────┘
│ │
┌──────▼──────────────────▼──────┐
│ CodeXRay MCP Server │
│ │
│ 16 tools • TF-IDF search │
│ Call graph • Impact analysis │
│ Dead code • Circular deps │
│ Complexity • Path finding │
│ │
│ ┌─────────────┐ │
│ │ SQLite Graph│ │
│ │ + FTS5 │ │
│ │ + TF-IDF │ │
│ └─────────────┘ │
└────────────────────────────────┘
```
## Quick Start
### Any Package Manager
```bash
# Zero-install (recommended)
npx codexray
# npm
npm install -g codexray
# pnpm
pnpm add -g codexray
# yarn
yarn global add codexray
# bun
bun add -g codexray
```
### One-Command Setup for Claude Code
```bash
npx codexray
```
The interactive installer:
1. ✅ Configures the MCP server in `~/.claude.json`
2. ✅ Sets up auto-allow permissions for all 16 CodeXRay tools
3. ✅ Auto-detects Windows and applies `cmd /c` wrapping
4. ✅ Initializes and indexes your current project
5. ✅ Builds TF-IDF semantic search index
6. ✅ Writes `CLAUDE.md` with tool usage instructions
7. ✅ Installs git hooks for auto-sync
**Restart Claude Code** and it works automatically.
### Manual Setup
```bash
codexray init --index # Initialize + index
cxr init -i # Short alias
```
## Why CodeXRay?
- **Save money** — 30%+ fewer tokens means lower API costs
- **Faster responses** — AI agents find code instantly via graph queries instead of scanning files
- **Better accuracy** — semantic search understands *meaning*, not just keywords
- **Zero config** — `npx codexray` and done. No API keys, no cloud, no ML models to download
- **Lightweight** — ~50MB vs ~500MB for embedding-based alternatives
- **Private** — 100% local. Your code never leaves your machine
## How It Works
1. **Index** — Tree-sitter parses your code into ASTs, extracting every function, class, method, type, and their relationships into a SQLite graph with TF-IDF semantic index
2. **Query** — Claude Code queries the graph via 16 MCP tools instead of scanning files
3. **Sync** — Git hooks keep the index up-to-date on every commit
### Without CodeXRay
```
AI agent: "Fix auth bug" → grep → read file → grep → read file → read file → ...
15+ tool calls just to FIND the relevant code
```
### With CodeXRay
```
AI agent: "Fix auth bug" → codexray_context("auth bug") → all relevant code + relationships
1 tool call — immediately start fixing
```
## 16 MCP Tools
### Primary (use first)
| Tool | Description |
|------|-------------|
| `codexray_overview` | Project structure, languages, key symbols |
| `codexray_context` | Task-relevant context with code snippets |
| `codexray_search` | Find symbols by name/keyword (FTS5) |
| `codexray_semantic` | Find code by **meaning** (TF-IDF) |
### Exploration
| Tool | Description |
|------|-------------|
| `codexray_node` | Detailed symbol info + full source code |
| `codexray_callers` | Who calls this symbol? |
| `codexray_callees` | What does this symbol call? |
| `codexray_deps` | Full dependency tree |
| `codexray_path` | Shortest connection between two symbols |
### Analysis
| Tool | Description |
|------|-------------|
| `codexray_impact` | Blast radius (recursive BFS) |
| `codexray_hotspots` | Most connected/critical symbols |
| `codexray_deadcode` | Find unused functions/classes |
| `codexray_circular` | Detect circular dependencies |
| `codexray_complexity` | High cyclomatic complexity functions |
| `codexray_files` | Indexed file tree with stats |
| `codexray_status` | Index health check |
## CLI Reference
```bash
codexray # Interactive Claude Code installer
codexray install # Same (explicit)
codexray init [path] # Initialize project
-i, --index # Index immediately
--no-hooks # Skip git hook
--claude-md # Write CLAUDE.md
codexray index [path] # Full index + semantic build
-f, --force # Force re-index
-q, --quiet # No output
codexray sync [path] # Incremental sync
codexray watch [path] # Real-time file watching
codexray status [path] # Index statistics
codexray query <q> # FTS5 search from CLI
codexray semantic <q> # TF-IDF semantic search from CLI
codexray context <q> # Build context from CLI
codexray overview [path] # Project overview
codexray hooks <action> # install/remove/status
codexray serve [path] # Start MCP server (stdio)
codexray uninstall # Remove from Claude Code
```
Short alias: **`cxr`** works for all commands.
## 15 Supported Languages
TypeScript, JavaScript, Python, Go, Rust, Java, C#, PHP, Ruby, C, C++, Swift, Kotlin — all parsed with tree-sitter for accurate AST extraction.
## Key Features
### 🧠 Semantic Search (TF-IDF)
Search "authentication" and find `login`, `validateToken`, `AuthService` — even with different naming. No API keys, no external services, no embeddings model to download. Pure local TF-IDF with camelCase/snake_case splitting, weighted by name/signature/docstring.
### 🔍 Smart Context Building
One `codexray_context` call replaces 5-10 file reads. Extracts keywords from your task description, finds matching symbols via FTS5 + TF-IDF, expands through the dependency graph, scores by relevance, and returns code snippets with call relationships.
### 💀 Dead Code Detection
`codexray_deadcode` finds functions, methods, and classes that are never called or referenced.
### 🔥 Hotspot Analysis
`codexray_hotspots` identifies the most connected symbols — highest callers + dependencies. These are riskiest to change.
### 💥 Blast Radius Analysis
`codexray_impact` uses BFS to trace all transitive callers, grouped by depth.
### 🔄 Circular Dependency Detection
`codexray_circular` uses DFS to find import/call cycles.
### 📐 Complexity Analysis
`codexray_complexity` finds functions exceeding a cyclomatic complexity threshold.
### 🛤️ Path Finding
`codexray_path` finds the shortest connection between any two symbols via BFS.
### 👁 Watch Mode
`codexray watch` uses chokidar for real-time index sync with 300ms debouncing.
### ⚡ Git Hooks
Post-commit hooks auto-sync the index. Zero maintenance.
### 🖥️ Cross-Platform
macOS, Linux, Windows. Windows gets automatic `cmd /c` wrapping.
## Library API
```typescript
import CodeXRay from 'codexray';
// Initialize and index
const cxr = await CodeXRay.init('/path/to/project', { index: true });
// FTS5 search
const results = cxr.search('UserService');
// Semantic search
const semantic = cxr.semanticSearch('user authentication flow');
// Call graph
const callers = cxr.getCallers(results[0].id);
const callees = cxr.getCallees(results[0].id);
// Path finding
const path = cxr.findPath(results[0].id, results[1].id);
// Impact analysis
const impact = cxr.getImpact(results[0].id);
// Smart context
const context = cxr.buildContext('fix login authentication bug');
console.log(cxr.formatContext(context));
// Analysis
const dead = cxr.findDeadCode();
const hotspots = cxr.findHotspots(10);
const cycles = cxr.findCircularDeps();
const complex = cxr.getComplexityReport(15);
const stats = cxr.getStats();
cxr.close();
```
## Configuration
`.codexray/config.json`:
```json
{
"version": 1,
"projectName": "my-app",
"exclude": ["node_modules/**", "dist/**"],
"maxFileSize": 1048576,
"gitHooksEnabled": true
}
```
## Requirements
- **Node.js 18–24** (for native fetch, glob, ES2022)
- No API keys, no cloud services, no external databases
- 100% local — everything in `.codexray/graph.db`
## CodeXRay vs CodeGraph
| Feature | CodeGraph | CodeXRay |
|---------|-----------|----------|
| MCP tools | 7 | **16** |
| Semantic search | vector embeddings (needs transformers.js ~500MB) | **TF-IDF** (zero deps, instant) |
| Dead code detection | ❌ | ✅ |
| Hotspot analysis | ❌ | ✅ |
| Circular dependency detection | ❌ | ✅ |
| Complexity analysis | ❌ | ✅ |
| Path finding between symbols | ❌ | ✅ |
| Watch mode (real-time) | ❌ | ✅ |
| Project overview tool | ❌ | ✅ |
| File tree tool | ❌ | ✅ |
| Dependency tree tool | ❌ | ✅ |
| Framework detection (React) | ❌ | ✅ |
| Windows `cmd /c` auto-wrapping | ❌ | ✅ |
| `cxr` short alias | ❌ | ✅ |
| Uninstall command | ❌ | ✅ |
| Library API | ❌ | ✅ |
| Node.js requirement | 18+ | 18+ |
| Zero-config `npx` install | ✅ | ✅ |
| Languages | 13 | **15** |
| Install size | ~500MB (transformers.js) | **~50MB** |
## Contributors
<table>
<tr>
<td align="center">
<a href="https://github.com/NeuralRays">
<img src="https://github.com/NeuralRays.png" width="80" style="border-radius:50%" alt="NeuralRays"/>
<br />
<sub><b>NeuralRays</b></sub>
</a>
<br />
<sub>Creator & Maintainer</sub>
</td>
<td align="center">
<a href="https://claude.ai">
<img src="https://avatars.githubusercontent.com/u/76263028?s=200" width="80" style="border-radius:50%" alt="Claude"/>
<br />
<sub><b>Claude</b></sub>
</a>
<br />
<sub>AI Pair Programmer</sub>
</td>
</tr>
</table>
## License
MIT
---
<p align="center">
<a href="https://github.com/NeuralRays/codexray/issues"><b>Report a Bug</b></a>
·
<a href="https://github.com/NeuralRays/codexray/issues"><b>Request a Feature</b></a>
·
<a href="https://github.com/NeuralRays/codexray/pulls"><b>Submit a PR</b></a>
·
<a href="https://github.com/NeuralRays/codexray/discussions"><b>Discussions</b></a>
·
<a href="https://www.npmjs.com/package/codexray"><b>npm Package</b></a>
</p>
<p align="center">
If you find CodeXRay useful, please consider giving it a <a href="https://github.com/NeuralRays/codexray">star on GitHub</a>!
</p>
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