data-ai MCP Server
Production-grade multi-agent AI platform with LangGraph v0.3, MCP servers, hybrid RAG (Qdrant + LlamaIndex), FastAPI WebSocket streaming, and Next.js real-time UI. Deployed on AWS EKS via Terraform.
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Next.js 14 App Router + shadcn/ui + Zustand
FastAPI async + WebSocket streaming
8003
LangSmith + Langfuse + Prometheus + Grafana
OpenAI `text-embedding-3-large`
8002
Claude Sonnet via LangChain
Port
LlamaIndex + Qdrant (hybrid dense+sparse search) + Cohere reranking
8001
Technology
EKS + Terraform + GitHub Actions + ArgoCD
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.
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.
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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Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
The secure gateway connecting AI agents to enterprise systems.
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