Argus MCP
Click on "Install 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., "@Argus MCPReview my current file for security issues"
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.
🔱 Argus MCP
AI-powered code review MCP server with Zero-Trust approach
Argus MCP is a Model Context Protocol (MCP) server that provides rigorous code review through multiple AI models. Named after the all-seeing guardian of Greek mythology, it watches over your code with vigilance.
Works with any MCP-compatible client:
Windsurf IDE
Claude Desktop
Other MCP clients
Multilingual support:
Russian, English, Chinese, and more
Responds in the language of your request
Features
Zero-Trust Code Review - Senior QA Engineer & Security Auditor approach
Multiple AI Models - GLM 4.7, Gemini 3 Flash Preview, MiniMax M2.1
Smart Retry & Fallback - Exponential backoff with automatic model switching
Intelligent Caching - 1-hour TTL cache for faster repeated checks
Language-Aware - Specialized checks for 10+ programming languages
Three Review Modes - Single file, Git diff, Multiple files
Security First - OWASP checks, performance analysis, architecture review
Related MCP server: MCP Code Reviewer
Review Categories
Must Fix - Critical bugs, security flaws, crashes
Should Fix - Logic gaps, risky patterns, poor UX
Suggestions - Code style, optimizations, best practices
Compatibility & Setup
Argus works with any MCP-compatible client.
Windsurf
File: ~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"argus": {
"command": "/absolute/path/to/argus-mcp/venv/bin/python",
"args": ["/absolute/path/to/argus-mcp/server_v2.py"]
}
}
}Reload: Cmd+Shift+P → "Reload Window"
Claude Desktop (Mac)
File: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"argus": {
"command": "/absolute/path/to/argus-mcp/venv/bin/python",
"args": ["/absolute/path/to/argus-mcp/server_v2.py"]
}
}
}Reload: Restart Claude Desktop application
Cursor
Setup via UI:
Go to Cursor Settings → Features → MCP
Click + Add New MCP Server
Fill in the fields:
Name:
argusType:
stdioCommand:
/absolute/path/to/argus-mcp/venv/bin/python /absolute/path/to/argus-mcp/server_v2.py
Reload: Restart Cursor
Other MCP Clients
Use standard MCP stdio protocol configuration.
Important: Replace /absolute/path/to/argus-mcp with your actual installation path!
Quick Start
1. Installation
git clone https://github.com/lokafinnsw/argus-mcp.git
cd argus-mcp
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt2. Configuration
Create .env file:
cp .env.example .envEdit .env with your API keys:
GLM_API_KEY=your_glm_api_key
OPENROUTER_API_KEY=your_openrouter_api_key
DEFAULT_MODEL=glm-4.7Get API Keys:
GLM 4.7: https://api.z.ai
OpenRouter: https://openrouter.ai/keys
3. Windsurf Setup
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"argus": {
"command": "/path/to/argus-mcp/venv/bin/python",
"args": ["/path/to/argus-mcp/server_v2.py"],
"env": {}
}
}
}4. Reload Your MCP Client
Windsurf: Cmd+Shift+P → "Reload Window"
Claude Desktop: Restart the application
Other MCP clients: Follow their reload instructions
How to Use
Quick Start
Simply type natural language commands in your IDE:
Review my code
Check this file
Verify my changesArgus MCP automatically detects what to review based on your IDE context.
How It Works
You write a command - "Review my code" or "Check this file"
Your IDE sends context - Open files, git changes, file paths
Argus determines mode:
1 open file → Single File mode (deep review)
Git changes detected → Git Diff mode (only changes)
Multiple modified files → Multiple Files mode (cross-file analysis)
AI analyzes code - Using language-specific checks
You get structured report - Must Fix / Should Fix / Suggestions
Review Modes Explained
Single File Mode
Full context analysis of one file
Deep security, performance, and architecture review
Best for: New features, refactoring
Git Diff Mode
Analyzes only your changes
Faster, uses fewer tokens
Best for: Pre-commit checks, PR reviews
Multiple Files Mode
Cross-file dependency analysis
Checks consistency between files
Best for: Feature spanning multiple files
What Gets Checked
Security (OWASP)
SQL injection, XSS, CSRF vulnerabilities
Insecure API usage, exposed secrets
Authentication/authorization flaws
Logic & Bugs
Edge cases, race conditions
Null pointer exceptions
Incorrect error handling
Performance
N+1 queries, memory leaks
Inefficient algorithms
Unnecessary computations
Architecture
SOLID violations, code smells
Tight coupling, missing abstractions
Inconsistent patterns
Language-Specific
Python: PEP 8, type hints, async/await
JavaScript: ESLint rules, async patterns
TypeScript: Strict types, interfaces
And more for 10+ languages
Output Format
### ❌ Must Fix
- **`auth.py:42`** - SQL injection in user_query
Fix: Use parameterized queries
### 🟡 Should Fix
- **`api.py:88`** - N+1 query in loop
Use select_related() to optimize
### 🟢 Suggestions
- **`utils.py:12`** - Use .capitalize() instead of slicingEach issue includes:
Exact file path and line number
Clear explanation of the problem
Why it matters
How to fix it (for critical issues)
Available Tools
1. verify_code
Performs comprehensive code review with Zero-Trust mindset.
Commands:
Review my code
Check this file
Verify my changes
Review this code with Gemini
Check code using MiniMax2. list_models
Shows available AI models and their status.
Usage:
Show available models
What models can I use?3. set_default_model
Sets default model for the session.
Usage:
Set Gemini as default model
Use MiniMax for all checks4. cache_stats
Displays cache statistics.
Usage:
Show cache stats
How many results are cached?Supported Models
Model | Provider | Cost (Input) | Speed | Quality |
GLM 4.7 | z.ai | $0.40/M ($0.0004/1K) | Fast | Excellent |
Gemini 3 Flash Preview | OpenRouter | $0.50/M ($0.0005/1K) | Very Fast | Excellent |
MiniMax M2.1 | OpenRouter | $0.30/M ($0.0003/1K) | Medium | Good |
Language Support
Specialized checks for:
Python (PEP 8, type hints, async/await)
JavaScript (ESLint, async patterns, null safety)
TypeScript (strict types, interfaces, generics)
Vue.js (Composition API, reactivity, props)
React (Hooks, props typing, event handlers)
Go (error handling, goroutines, defer)
Rust (ownership, borrowing, lifetimes)
Java (SOLID, exceptions, streams)
PHP (PSR standards, type declarations)
Architecture
argus-mcp/
├── config.py # Configuration & API keys
├── validators.py # Input validation (200KB limit)
├── models.py # Model providers with retry/fallback
├── prompts.py # Language-aware prompts
├── cache.py # Result caching (1h TTL)
├── server_v2.py # Main MCP server
├── .env # API keys (gitignored)
├── .env.example # Template
└── requirements.txt # DependenciesSecurity Features
✅ API keys in
.env(not in code)✅ Input validation (200KB code limit)
✅ Path sanitization
✅
.gitignoreprotection✅ OWASP security checks
Testing
# Test all modes
python test_v2.py
# Test specific model
python test_gemini.py
# Test set_default_model
python test_set_model.pyPerformance
Metric | Value |
Response time (cached) | ~50ms |
Response time (API) | 2-5 sec |
Success rate (with retry) | 99.9% |
Token savings (language hints) | 30-50% |
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Fork the repository
Create your feature branch (
git checkout -b feature/AmazingFeature)Commit your changes (
git commit -m 'Add some AmazingFeature')Push to the branch (
git push origin feature/AmazingFeature)Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Credits
GLM 4.7 by Z.AI
Gemini 3 Flash Preview by Google (via OpenRouter)
MiniMax M2.1 by MiniMax (via OpenRouter)
MCP Protocol by Anthropic
Support
Made with ❤️ for better code quality
Version: 2.0.0
Last Updated: December 2025
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