MCP Security Audit — AI/ML Vulnerability ScannerMcp Security Aud…

@LuciferForge

About MCP Security Audit — AI/ML Vulnerability ScannerMcp Security Aud…

Scan any GitHub repository for 21 AI/ML vulnerability patterns across Python, Java, Go, C++, and Rust. Detects eval injection, pickle deserialization, SSRF, command injection, SQL injection, unsafe YAML, hardcoded secrets, and more. Severity-weighted risk scoring with line-level

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "security-audit": {
      "command": "python",
      "args": [
        "-m",
        "mcp_security_audit"
      ],
      "env": {}
    }
  }
}

Tools

Scan a GitHub repository for vulnerabilities

Scan a code snippet directly

List all 21 detection patterns

Overview

What is MCP Security Audit — AI/ML Vulnerability Scanner?

MCP Security Audit is an MCP server that scans code for security vulnerabilities. It inspects GitHub repositories or code snippets across five languages (Python, Java, Go, C++, Rust) using 21 detection patterns spanning critical to low severity issues. It is intended for developers and security teams who want to integrate vulnerability scanning into AI‑assisted workflows.

How to use MCP Security Audit — AI/ML Vulnerability Scanner?

Install via pip: pip install mcp-security-audit. Then use the server’s tools (audit_repo, audit_code, list_patterns) with any MCP‑compatible client. No additional configuration keys are required beyond standard MCP setup.

Key features of MCP Security Audit — AI/ML Vulnerability Scanner

Scans GitHub repositories and code snippets
Covers 21 detection patterns across 5 languages
Severity levels from CRITICAL through LOW
Detects eval/exec injection, deserialization attacks, command injection, SSRF, SQL injection, buffer overflow, format strings, unsafe blocks, and hardcoded secrets
Provides a list_patterns tool to enumerate all patterns

Use cases of MCP Security Audit — AI/ML Vulnerability Scanner

Scan a GitHub repository for vulnerabilities before merging a pull request
Check a code snippet for security issues during an AI chat session
Enumerate all supported detection patterns to understand scan coverage

FAQ from MCP Security Audit — AI/ML Vulnerability Scanner

How do I install the server?

Run pip install mcp-security-audit.

What tools does the server provide?

It provides three tools: audit_repo (scan a GitHub repo), audit_code (scan a code snippet), and list_patterns (list all 21 detection patterns).

Which languages and vulnerability patterns are supported?

Five languages are covered: Python (9 patterns), Java (3), Go (3), C++ (3), and Rust (3). The 21 patterns include eval/exec injection, deserialization attacks, command injection, SSRF, SQL injection, buffer overflow, format strings, unsafe blocks, and hardcoded secrets.

What severity levels are included?

Patterns range from CRITICAL through LOW severity.

Where can I find more information or the source code?

The project is available on PyPI (pypi.org/project/mcp-security-audit) and GitHub (github.com/LuciferForge/mcp-security-audit).

Frequently asked questions

How do I install the server?

Run `pip install mcp-security-audit`.

What tools does the server provide?

It provides three tools: `audit_repo` (scan a GitHub repo), `audit_code` (scan a code snippet), and `list_patterns` (list all 21 detection patterns).

Which languages and vulnerability patterns are supported?

What severity levels are included?

Patterns range from CRITICAL through LOW severity.

Where can I find more information or the source code?

The project is available on PyPI (pypi.org/project/mcp-security-audit) and GitHub (github.com/LuciferForge/mcp-security-audit).

Comments

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