Awesome GitHub RepositoriesCloud Platforms

LocalStack is an infrastructure development environment that provides a local simulation of cloud services. By leveraging container-orchestrated service lifecycles, it allows developers to build, test, and debug cloud-native applications on their local machines without requiring remote connectivity or incurring cloud provider costs. The platform distinguishes itself through sophisticated traffic redirection and request routing, which intercept cloud service calls at the network layer and redirect them to local handlers. This enables seamless integration with existing development workflows, al

📙 Amazon Web Services — a practical guide

This project is a Kubernetes controller that automates the issuance, renewal, and lifecycle management of TLS certificates. It functions as a native extension to the cluster API, using custom resource definitions and reconciliation loops to maintain the desired state of certificates and trust bundles across distributed services. By integrating directly with the cluster's admission control and secret storage systems, it ensures that cryptographic identities are consistently provisioned and available for application workloads. The project distinguishes itself through its extensive support for a

Este proyecto es una colección de materiales educativos y recursos de estudio técnico centrados en Google Cloud Platform. Proporciona diagramas visuales, sketchnotes y resúmenes diseñados para ayudar a los ingenieros a comprender la arquitectura en la nube, conceptos de ingeniería y capacidades de los servicios. Los recursos utilizan árboles de decisión y frameworks de comparación para ayudar en la selección de servicios de computación, almacenamiento y bases de datos apropiados. También incluye flujos de trabajo visuales e ilustraciones paso a paso específicamente para planificar la migración de cargas de trabajo y datos desde entornos locales (on-premises) a la nube. El material cubre la visualización de patrones arquitectónicos y el mapeo de conceptos para simplificar el aprendizaje de productos en la nube complejos y diseños de infraestructura.

kubefwd es una utilidad de túnel de red y reenvío de servicios de Kubernetes que mapea servicios de clúster remotos a direcciones de loopback locales. Sincroniza el archivo hosts local para resolver nombres de servicios de Kubernetes a direcciones IP locales, permitiendo que los entornos de desarrollo locales usen nombres de host de producción. El proyecto implementa un servidor de Model Context Protocol, permitiendo a asistentes de IA externos descubrir, navegar y controlar el reenvío de red a través de una interfaz estandarizada. También proporciona una interfaz de usuario de terminal para gestionar reenvíos de servicios, monitorear el tráfico de red en tiempo real y transmitir logs de pods. El sistema maneja la gestión de conexiones multiclúster, enrutamiento de servicios headless y persistencia de conexión automatizada usando sincronización basada en eventos y retroceso exponencial (exponential backoff). Incluye una API REST para el control programático de namespaces y registros de servicios, junto con herramientas para diagnosticar problemas de conexión e inspeccionar el estado de los pods. La utilidad puede desplegarse como un contenedor privilegiado o mediante Docker Compose para gestionar interfaces de red locales y modificaciones de archivos de host.

This is a Model Context Protocol (MCP) server that exposes Cloudflare’s edge platform as a set of tools for AI assistants. It provides a unified interface for managing Cloudflare Workers, including deployment, versioning, and configuration, alongside access to Workers AI for running inference tasks using pre-trained models. The server also covers Cloudflare’s data storage services, including D1 serverless SQLite databases, KV globally distributed key-value stores, and R2 S3-compatible object storage. Beyond core resource management, the server enables automation and scheduling through cron tr

tech-vault is a command-line technical interview bank and knowledge base designed for practicing engineering questions across various technical domains. It functions as a terminal-based application that stores structured study materials and interview questions as markdown files, which are then rendered directly within the system console. The project distinguishes itself through a delivery model that uses command-line argument parsing to filter content by topic or difficulty. It also includes a random selection algorithm to pick individual questions from the collection for spontaneous study se

Model Context Protocol (MCP) server for Kubernetes and OpenShift

Model Context Protocol (MCP) server for Kubernetes and OpenShift

MCP Server for kubernetes management commands

The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

CloudBase MCP - Connect CloudBase to your AI Agent. Go from AI prompt to live app.

Published in CNCF Landscape: A MCP server for Kubernetes.

一款轻量级、跨平台的 Mini Kubernetes AI Dashboard，支持大模型+智能体+MCP(支持设置操作权限)，集成多集群管理、智能分析、实时异常检测等功能，支持多架构并可单文件部署，助力高效集群管理与运维优化。

MCP server connecting to Kubernetes

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Free, open-source AWS emulator. LocalStack alternative: 41 services, 3,704 operations, true 100% Smithy conformance (124,255/124,255 variants pass). No account, no auth token, no paid tier.

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

Official Portainer MCP server