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Automate AWS FTR self-assessments with structured pass/fail decisions and reasoning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@aws/ftr-eval-mcp" yet — see the docs or source repo.
Using the SOC 2 report and WAFR report I provide, evaluate each AWS Foundational Technical Review control and return PASS/FAIL, supporting rationale, and a list of missing evidence.
A structured assessment showing pass/fail status, reasoning, and evidence gaps for each control.
Based on the current self-assessment results, summarize all failed FTR controls, rank them by risk and remediation priority, and suggest documents or technical measures to address them.
A prioritized remediation list to help the team prepare follow-up evidence and improvements quickly.
Turn this FTR self-assessment into an executive-friendly summary covering overall status, key risks, number of unmet controls, and recommended next steps.
A report-ready summary describing assessment status, risks, and recommended next actions.
Analyze AWS cloud costs, detect waste, and surface budget insights naturally.
Let AI assistants securely call AWS APIs with seamless SSO re-login.
Analyze AWS security posture with natural language and get remediation guidance.
Automate AWS security incident response by isolating threats and tightening access.
Inspect AWS resources, IAM, and costs safely with guaranteed read-only access.
Provision and terminate AWS EC2 instances with natural language for simpler cloud operations.