Real-Time Security Audits in Your AI Coding Workflow

Stop context-switching to run npm audit every time you're discussing dependencies with Claude or Cursor. This MCP server brings live vulnerability scanning directly into your AI conversations, giving you instant security insights without leaving your development flow.

The Problem Every Developer Faces

You're deep in a coding session with Claude, discussing package upgrades or reviewing dependencies. The conversation flows until you hit that wall: "Let me check if this package has any known vulnerabilities." You alt-tab, run npm audit, parse the output, then return to explain what you found.

That friction kills productivity. Your AI assistant should already know about security issues in the packages you're discussing.

Get Security Intelligence Where You Code

This MCP server transforms security auditing from a separate task into contextual information that's always available in your AI workflow:

• Real-time scanning: Query the npm registry directly during conversations
• Structured responses: Get CVSS scores, CVE references, and fix recommendations in a format your AI can reason about
• Zero setup friction: One NPX command and you're scanning dependencies in Claude Desktop

Practical Use Cases

Dependency Reviews Made Intelligent

You: "Should we upgrade lodash from 4.17.15 to 4.17.21?"
Claude: *checks security audit* "Yes, definitely. Version 4.17.15 has a high-severity prototype pollution vulnerability (CVE-2020-8203, CVSS 7.4). The upgrade to 4.17.21 fixes this issue."

Package Evaluation in Real-Time

You: "What about using this new package 'fast-xml-parser' version 3.19.0?"
Claude: *audits package* "I'd recommend against that version. It has a critical XXE vulnerability. Version 4.0.0+ is safe."

Architecture Discussions with Security Context Instead of making security an afterthought, every package discussion includes vulnerability context. Your AI coding assistant becomes security-aware by default.

Integration That Actually Works

Add this single configuration to Claude Desktop and you're done:

{
  "mcpServers": {
    "mcp-security-audit": {
      "command": "npx",
      "args": ["-y", "mcp-security-audit"]
    }
  }
}

No builds, no local installations, no configuration files. The server connects to the npm registry and provides structured vulnerability data that integrates seamlessly with AI reasoning.

Beyond Basic Vulnerability Scanning

This isn't just npm audit wrapped in an API. You get:

• Live registry queries: Always current vulnerability data
• Structured output: CVSS vectors, CWE classifications, GitHub advisory links
• Fix recommendations: Specific version ranges that resolve issues
• Multi-package manager support: Works with npm, yarn, and pnpm projects

The difference between running npm audit manually and having this available in your AI workflow is the difference between reactive security checking and proactive security intelligence.

Perfect for developers who want security considerations embedded in their daily coding conversations rather than relegated to CI/CD pipelines and periodic audits.