safeAI: Model Context Protocol Integration Framework

safeAI is a complete landing zone for integrating AWS Bedrock AI capabilities into enterprise applications, designed to eliminate the complexity and delays that plague traditional AI implementations. Our hybrid MCP architecture combines an ECS Fargate client for reliable, always-on connectivity with Lambda-based MCP servers for cost-effective, event-driven processing. This unified approach connects your applications to AWS Bedrock models while providing enterprise-grade security, intelligent knowledge management, and complete data sovereignty.

Stop letting integration complexity delay your AI adoption. safeAI delivers the enterprise-grade security, knowledge management, and model access your team needs to build business value, not infrastructure. With our standardized Model Context Protocol (MCP) implementation, you can move from concept to production in just 2 weeks instead of 6+ months. Documents uploaded to S3 trigger automatic processing through AWS Bedrock, with vector embeddings stored in Aurora PostgreSQL Serverless v2, enabling semantic search across your organization's knowledge with event-driven efficiency.

safeAI reduces integration costs by 40-50% compared to custom development approaches through pre-built components, standardized protocols, and AWS-native services. Your data remains protected with AWS IAM, KMS, and Secrets Manager, while our MCP implementation creates a standardized interface that allows you to easily switch between AWS Bedrock models as they evolve, future-proofing your AI investments and avoiding vendor lock-in.