devops-infra MCP Server
AWS production deployment of the PAC-AI protocol (jhcontext) — Chalice REST API + MCP proxy on Lambda, DynamoDB + S3 storage, and CrewAI multi-agent scenarios demonstrating EU AI Act compliance (Articles 13 & 14) with auditable context envelopes and W3C PROV provenance.
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Key Proof
Description
Description
3 agents, 1 crew, Raw-Forward, full provenance
Article
Scenario
Risk
3 (PHQ-9 interview → risk-classifier → referral) + district-specialist oversight
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
Detecting exposed AWS credentials in source code repositories, CI/CD pipelines, and configuration files using TruffleHog, git-secrets, and AWS-native detection mechanisms to prevent credential theft and unauthorized account access.
Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
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The secure gateway connecting AI agents to enterprise systems.
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