MCP Security Scanner for AI Code Analysis

MCP Security Scanner for AI Code Analysis

The MCP Security Scanner is an MCP server designed to integrate powerful static code analysis tools for AI development. It leverages Checkov, Semgrep, and Bandit to provide a comprehensive security audit of your AI codebases. This tool is specifically built to be consumable by AI coding assistants, enabling automated security checks within your development workflow.

What it Does

This MCP server acts as a centralized security analysis engine. It takes code as input and runs it through a battery of security checks. Checkov focuses on infrastructure-as-code security, Semgrep offers flexible pattern-based code analysis for various languages, and Bandit specifically targets common security vulnerabilities in Python code. The aggregated results are then made available in a structured format, ready for interpretation by AI agents.

Key Features

• Integrated Security Tools: Combines Checkov, Semgrep, and Bandit for broad security coverage.
• MCP Server Architecture: Designed for seamless integration with MCP-based AI coding assistants.
• Automated Analysis: Enables continuous security scanning as part of the development pipeline.
• Actionable Insights: Provides detailed reports on identified vulnerabilities.
• Open Source: Hosted on GitHub, allowing for community contributions and transparency.

Who it's For

This tool is intended for AI developers, security engineers, and DevOps teams focused on building secure AI applications. It's particularly useful for those utilizing AI coding assistants and looking to embed robust security practices directly into their development environment. If you're working with Python, infrastructure-as-code, or need to identify common code vulnerabilities early, the MCP Security Scanner is a valuable addition to your toolkit.