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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.
Automatically scan AWS security posture and generate read-only risk audit results.
Analyze AWS cloud costs, detect waste, and surface budget insights naturally.
Let AI assistants securely call AWS APIs with seamless SSO re-login.
Monitor AWS resources, analyze logs and metrics, and auto-create Jira incident tickets.
Analyze AWS security posture with natural language and get remediation guidance.
Let AI manage AWS resources through controlled AWS CLI operations.