devops-infra MCP Server
30-day challenge: AWS (Chandana) + Agentic AI (Punith). Daily notes, working code, and the beginner-to-advanced gotchas tutorials skip — Lambda, IAM, RAG, MCP, Bedrock, LangChain, and more.
Discovered via github-topic:mcp and last synced 4mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Topic
MCP (Model Context Protocol) — building servers, hosting on AWS, Claude Desktop integration
RAG end-to-end — embeddings, chunking, OpenSearch, Bedrock Knowledge Bases, reranking
Containers — ECS, EKS, Fargate, Dockerized agents, MCP servers in containers
Cost Optimization — AWS levers (Savings Plans, S3 tiers) + LLM levers (caching, routing)
Guardrails & Responsible AI — Bedrock Guardrails, prompt/output filtering, PII, safety eval
Bedrock Agents & Knowledge Bases — action groups, ingestion jobs, agent traces
AWS Lambda & Python Lambda — handler, event, context, triggers, agent-tool patterns
DynamoDB & Agent Memory — single-table design, short/long-term memory patterns
IAM & Security — policies, AssumeRole, prompt injection, secrets handling
Step Functions & Agent Orchestration — state machines, retries, HITL, LangGraph parallels
Observability — CloudWatch, X-Ray, LangSmith, OpenTelemetry, agent traces
API Gateway & Agent-Facing APIs — REST/HTTP, streaming, MCP-over-HTTP, OpenAPI for tools
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 CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.
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
为独立开发者准备的精选技术栈和工具仓库来了！这里有你最需要的工具，帮你提升开发效率、节约成本，最重要的是——这些工具都是市场上热门的，经过验证的。🚀A curated collection of tech stacks and tools tailored for independent developers is here! these are proven, popular tools widely used in the industry. 🚀
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.
Learn how to use the cloud-aws Claude skill. Complete guide with installation instructions and examples.
Learn how to use the detecting-aws-iam-privilege-escalation Claude skill. Complete guide with installation instructions and examples.
Learn how to use the detecting-aws-guardduty-findings-automation Claude skill. Complete guide with installation instructions and examples.