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Automate SSDLC planning, threat modeling, test design, and security reviews with AI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP SSDLC Security Toolkit" yet — see the docs or source repo.
Based on a SaaS application for enterprise customers, generate an SSDLC plan including business analysis, key asset identification, major security risks, phase-by-phase security activities, and deliverables.
A structured SSDLC planning document covering business context, risk priorities, phase tasks, and deliverables.
For a web platform with user login, file uploads, and third-party payments, perform threat modeling, list attack surfaces, potential threats, risk levels, and recommended mitigations.
A threat modeling report with attack surfaces, threat analysis, prioritization, and mitigation actions.
Create a security testing strategy for an internal management system using Node.js and PostgreSQL, and provide a secure code review checklist focused on authentication, authorization, input validation, and sensitive data protection.
A security test strategy and code review checklist ready for test planning and development reviews.
Retrieve secure coding knowledge and feature-specific security guidance for AI assistants.
Analyze Android and iOS app packages for security issues via natural language.
Add security reviews, CVE scans, and code verification to code generation.
Analyze AWS security posture with natural language and get remediation guidance.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Use natural language to load data, train models, and track experiments.