CodeGuardian MCP
<p align="center"> <img src="https://img.shields.io/npm/v/codeguardian-mcp?style=for-the-badge&color=FF6B6B" alt="npm version"> <img src="https://img.shields.io/badge/TypeScript-007ACC?style=for-the-badge&logo=typescript&logoColor=white" alt="TypeScript"> <img src="https://img.shields.io/badge/JavaScript-F7DF1E?style=for-the-badge&logo=javascript&logoColor=black" alt="JavaScript"> <img src="https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python"> <img src="https://img.shields.io/badge/MCP%20Server-FF6B6B?style=for-the-badge&logo=server&logoColor=white" alt="MCP Server"> </p>
<p align="center"> <img src="https://img.shields.io/badge/AI%20Hallucination%20Detection-00C853?style=for-the-badge&logo=artificial-intelligence&logoColor=white" alt="AI Hallucination Detection"> <img src="https://img.shields.io/badge/Dead%20Code%20Detection-FF9800?style=for-the-badge&logo=code&logoColor=white" alt="Dead Code Detection"> <img src="https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge" alt="License"> </p>
<p align="center"> <b>Catches AI hallucinations before they break your code</b> </p>
<p align="center"> <a href="#installation">Installation</a> • <a href="#connecting-to-your-mcp-client">Connect MCP</a> • <a href="#quick-start">Quick Start</a> • <a href="#features">Features</a> • <a href="#all-tools">All Tools</a> • <a href="#contributing">Contributing</a> </p>
---
The Problem
AI coding assistants hallucinate. They generate code that compiles fine but breaks at runtime:
// [X] AI generates this:
const user = getUserById(id); // Function doesn't exist!
// [OK] Your codebase has:
const user = findUserById(id); // Correct function name
Common AI Hallucinations:
- [CRITICAL] Calling
getUserById()when your codebase hasfindUserById() - [CRITICAL] Using methods that aren't on your classes
- [CRITICAL] Importing from modules that don't export what they claim
- [CRITICAL] Creating dead code that nothing ever uses
The Solution
CodeGuardian validates AI-generated code against your actual codebase before you run it.
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ AI Generates │────▶│ CodeGuardian │────▶│ Issues Found │
│ Code │ │ Validates │ │ + Suggestions │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│ │ │
▼ ▼ ▼
Vibe Coding AST Parsing Fix Before
Confidently Symbol Matching Runtime
Installation
Prerequisites
- Node.js v20 or higher (Download)
Install from npm
# Using npx (no install needed — recommended)
npx codeguardian-mcp
# Or install globally
npm install -g codeguardian-mcp
# Or with pnpm
pnpm add -g codeguardian-mcp
Install from source (for contributors)
git clone https://github.com/codegoddy/codeguardian_mcp.git
cd codeguardian_mcp
pnpm install
pnpm run build
Connecting to Your MCP Client
Add CodeGuardian to your MCP client config. No cloning or building required — npx handles everything.
Claude Desktop (claude_desktop_config.json): ``json { "mcpServers": { "codeguardian": { "command": "npx", "args": ["-y", "codeguardian-mcp"] } } } ``
Windsurf (mcp_config.json): ``json { "mcpServers": { "codeguardian": { "command": "npx", "args": ["-y", "codeguardian-mcp"] } } } ``
Cursor (.cursor/mcp.json): ``json { "mcpServers": { "codeguardian": { "command": "npx", "args": ["-y", "codeguardian-mcp"] } } } ``
OpenCode (opencode.json in your project root): ``json { "$schema": "https://opencode.ai/config.json", "mcp": { "codeguardian": { "type": "local", "command": ["npx", "-y", "codeguardian-mcp"], "enabled": true } } } ``
Gemini CLI (settings.json): ``json { "mcpServers": { "codeguardian": { "command": "npx", "args": ["-y", "codeguardian-mcp"] } } } ``
Claude Code (CLI): ``bash claude mcp add --transport stdio codeguardian -- npx -y codeguardian-mcp ``
Restart your IDE / MCP client for the changes to take effect. You should see CodeGuardian's tools become available.
Note: If you installed globally (
npm install -g codeguardian-mcp), you can use"command": "codeguardian-mcp"with no args instead ofnpx.
Quick Start
The two primary tools that handle everything for you:
start_validation — Full Project Health Check
Scans your entire codebase for hallucinations, dead code, and bad imports. Best for on-demand audits.
Where to run: From the specific subdirectory you want to validate (e.g.,
frontend/orbackend/), not the monorepo root.
# Example: Validate frontend only
cd /path/to/your/project/frontend
start_validation({
projectPath: "/path/to/your/project/frontend",
language: "typescript"
})
# Example: Validate backend only
cd /path/to/your/project/backend
start_validation({
projectPath: "/path/to/your/project/backend",
language: "python"
})
This runs in the background (no timeouts). Check progress and get results with:
get_validation_status({ jobId: "..." })— poll progressget_validation_results({ jobId: "..." })— get the final report
start_guardian — Real-Time File Watcher
Watches your project and automatically validates files as you (or your AI) edit them. Runs continuously in the background.
Where to run: From the project root directory (monorepo root). Guardian will auto-detect and watch all subprojects (frontend, backend, etc.).
# Run from project root (monorepo root)
cd /path/to/your/project
start_guardian({
projectPath: "/path/to/your/project",
language: "typescript" // or "python" or "auto"
})
Once running, it catches issues in real-time across all subprojects. Use these companion tools:
get_guardian_alerts— see current issues found by the watcherget_guardian_status— check which guardians are activestop_guardian— stop a guardian when done
Tip: These two tools handle everything without needing to call individual validation tools manually.
start_validationfor focused audits on specific subdirectories,start_guardianfor continuous protection across the entire project.
Features
AI Hallucination Detection
Catches non-existent functions, classes, and methods with 95% confidence
Confidence Scoring
Every issue includes a confidence score (0-100%) and detailed reasoning
| Score | Level | Action | |-------|-------|--------| | 0-49 | Critical | REJECT - Major hallucinations detected | | 50-69 | Low | REVIEW - Multiple issues need attention | | 70-89 | Medium | CAUTION - Minor issues, review suggested | | 90-100 | High | ACCEPT - Code is safe to use |
Dead Code Detection
Finds exported functions and classes that nothing imports
API Contract Validation
Detects mismatches between frontend and backend — wrong endpoints, missing fields, type incompatibilities
Multi-Language Support
- TypeScript / JavaScript — full support
- Python — full support
Full-Stack Projects
Automatically detects full-stack projects (e.g. React + FastAPI, Next.js + Express) and validates each language correctly.
Real-Time Validation
Validates code immediately after generation with sub-second response times
What It Catches
| Type | Example | Severity | Confidence | |------|---------|----------|------------| | Non-existent function | getUserById() when it doesn't exist | Critical | 95% | | Non-existent class | new PaymentService() when undefined | Critical | 95% | | Bad import | import { foo } from './utils' when not exported | Critical | 93% | | Missing dependency | import 'react-ui' not in package.json | Critical | 95% | | Wrong method | user.getFullName() on class without it | Medium | 70% | | Wrong param count | func(a, b) when expects 3 params | High | 88% | | Dead export | Exported function nothing imports | Medium | 85% | | Hardcoded credentials | API_KEY = 'sk_live_...' | Critical | 85% | | API contract mismatch | Frontend calls endpoint that doesn't exist on backend | Critical | 90% |
How It Works
┌─────────────────────────────────────────────────────────────┐
│ CodeGuardian Pipeline │
├─────────────────────────────────────────────────────────────┤
│ 1. AST Parsing │
│ └─> Uses tree-sitter to parse your codebase │
│ └─> Extracts all symbols (functions, classes, methods) │
│ │
│ 2. Context Building │
│ └─> Builds searchable index of project symbols │
│ └─> Caches for fast subsequent validations │
│ │
│ 3. Validation │
│ └─> Compares AI-generated code against index │
│ └─> Flags anything that doesn't exist │
│ │
│ 4. Suggestions │
│ └─> Uses fuzzy matching to suggest corrections │
│ └─> Provides confidence scores and reasoning │
└─────────────────────────────────────────────────────────────┘
All Tools
Primary Tools (start here)
| Tool | Description | |------|-------------| | start_validation | Full project scan — runs in background, no timeouts. Use for on-demand audits. | | start_guardian | Real-time file watcher — validates files as they change. Use for continuous protection. |
Validation Job Tools
| Tool | Description | |------|-------------| | get_validation_status | Poll progress of a start_validation job | | get_validation_results | Get final results when a validation job completes |
Guardian Tools
| Tool | Description | |------|-------------| | get_guardian_alerts | Get current issues found by active guardians | | get_guardian_status | Check which guardians are running | | stop_guardian | Stop a specific guardian or all guardians |
Individual Tools
| Tool | Description | |------|-------------| | validate_code | Validate a single code snippet against your project's symbols | | build_context | Build/rebuild project symbol index (usually auto-called) | | get_dependency_graph | Show what files depend on what — understand the blast radius of changes |
API Contract Tools
| Tool | Description | |------|-------------| | validate_api_contracts | Validate frontend/backend API contract compatibility | | get_api_contract_report | Generate a detailed API contract validation report |
What It Skips (No False Positives)
- [OK] External packages (npm/pip) - not your code
- [OK] Built-ins (
console.log,print,Math.random) - [OK] New code being created in the same snippet
- [OK] Entry points (
index.ts,main.py) - [OK] Test files
Limitations
- No Python type inference — CodeGuardian uses static AST analysis, not a type system. It cannot resolve types through variable assignments, function return values, or chained calls. For example, if
db.query(User)returns aQueryobject and you call.filter()on it, CodeGuardian cannot verify that.filter()is a valid method because it doesn't track the return type ofdb.query(). This would require building a mini mypy-style type checker, which is out of scope. Python method calls on dynamically-typed variables are skipped to avoid false positives. - Doesn't catch logic errors (that's still on you)
- Dynamic code (
eval, reflection) can't be tracked - Method calls on untyped objects may be skipped to avoid false positives
- Very large monorepos (>1000 files) should use
start_validationwith batching
Contributing
We welcome contributions! Please see our Contributing Guide for details.
License
MIT License - see LICENSE file for details.
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<p align="center"> <b>Made by developers who are tired of AI hallucinations</b> </p>
<p align="center"> <a href="https://github.com/codegoddy/codeguardian_mcp">Star us on GitHub</a> • <a href="https://github.com/codegoddy/codeguardian_mcp/issues">Report Issues</a> • <a href="https://github.com/codegoddy/codeguardian_mcp/discussions">Discussions</a> </p>






