Cybersecurity Ai MCP Server

This MCP server implements cybersecurity analysis tools with reasonable code structure and proper auth middleware in place. However, several security concerns reduce confidence: (1) a hardcoded Stripe URL and upgrade messaging embedded throughout tool responses creates tight coupling to commercial offerings and potential for manipulation, (2) network calls via urllib to an external meter endpoint (proofof.ai) without proper error handling or validation, (3) inadequate input validation on rate-limiting mechanism that could be trivially bypassed, and (4) the auth_middleware fail-open behavior, while intentionally defensive, creates ambiguity about enforcement. The tools themselves are read-only and safe, but the monetization layer and metering infrastructure introduce trust and data flow concerns. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.

7 files analyzed · 15 issues found

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