Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with fewer false positives than Vulture. Includes AI-powered remediation.
Post-quantum readiness for AI coding agents: scan code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH), explain the harvest-now-decrypt-later exposure, get NIST ML-KEM/ML-DSA/SLH-DSA (and hybrid) migration guidance, verify fixes, and check dependencies. Content-based/advisory tools only. Run local (npx @quantakrypto/mcp) or the hosted OAuth endpoint at mcp.quantakrypto.com.
Quality signal
51/100 (Fair)
45/100 (Fair)
Install path
uvx · high
npx · high
Engagement
4 0 0 499
0 0 0 9
Tools
Dead code detection with high recall and low false positivesSecurity scanning including dangerous data flows and secretsQuality analysis covering complexity, nesting, and duplicationAI-powered remediation suggestions and defect checksLocal and CI/CD usage with GitHub Actions supportSupport for multiple languages including Python, TypeScript, Go, Java, and more
