CodeXRay
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CodeXRayfind all code related to user authentication"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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_contextcall replaces 5-10 file reads. Your AI agent queries a pre-built knowledge graph instead of scanning files one by one.
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 codeWith 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 fixResult: 80% fewer tokens, 90% fewer tool calls to find relevant code.
┌─────────────────────────────────────────────┐
│ 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
# Zero-install (recommended)
npx codexray
# npm
npm install -g codexray
# pnpm
pnpm add -g codexray
# yarn
yarn global add codexray
# bun
bun add -g codexrayOne-Command Setup for Claude Code
npx codexrayThe interactive installer:
✅ Configures the MCP server in
~/.claude.json✅ Sets up auto-allow permissions for all 16 CodeXRay tools
✅ Auto-detects Windows and applies
cmd /cwrapping✅ Initializes and indexes your current project
✅ Builds TF-IDF semantic search index
✅ Writes
CLAUDE.mdwith tool usage instructions✅ Installs git hooks for auto-sync
Restart Claude Code and it works automatically.
Manual Setup
codexray init --index # Initialize + index
cxr init -i # Short aliasRelated MCP server: Symbol Delta Ledger
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 codexrayand done. No API keys, no cloud, no ML models to downloadLightweight — ~50MB vs ~500MB for embedding-based alternatives
Private — 100% local. Your code never leaves your machine
How It Works
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
Query — Claude Code queries the graph via 16 MCP tools instead of scanning files
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 codeWith CodeXRay
AI agent: "Fix auth bug" → codexray_context("auth bug") → all relevant code + relationships
1 tool call — immediately start fixing16 MCP Tools
Primary (use first)
Tool | Description |
| Project structure, languages, key symbols |
| Task-relevant context with code snippets |
| Find symbols by name/keyword (FTS5) |
| Find code by meaning (TF-IDF) |
Exploration
Tool | Description |
| Detailed symbol info + full source code |
| Who calls this symbol? |
| What does this symbol call? |
| Full dependency tree |
| Shortest connection between two symbols |
Analysis
Tool | Description |
| Blast radius (recursive BFS) |
| Most connected/critical symbols |
| Find unused functions/classes |
| Detect circular dependencies |
| High cyclomatic complexity functions |
| Indexed file tree with stats |
| Index health check |
CLI Reference
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 CodeShort 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
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:
{
"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 | ❌ | ✅ |
| ❌ | ✅ |
Uninstall command | ❌ | ✅ |
Library API | ❌ | ✅ |
Node.js requirement | 18+ | 18+ |
Zero-config | ✅ | ✅ |
Languages | 13 | 15 |
Install size | ~500MB (transformers.js) | ~50MB |
Contributors
License
MIT
This server cannot be deployed
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