Projects sharing features with Aws Mcp Server

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

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.

A comprehensive Model Context Protocol (MCP) server for managing Netskope Private Access (NPA) infrastructure through AI-powered automation.

MCP Server for Nutanix

MCP server connecting to Kubernetes

MCP Server for kubernetes management and diagnose your cluster and applications

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

kom 是一个用于 Kubernetes 操作的工具，SDK级的kubectl、client-go的使用封装。并且支持作为管理k8s 的 MCP server。 它提供了一系列功能来管理 Kubernetes 资源，包括创建、更新、删除和获取资源，甚至使用SQL查询k8s资源。这个项目支持多种 Kubernetes 资源类型的操作，并能够处理自定义资源定义（CRD）。 通过使用 kom，你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作。

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

🪐 MCP IPFS Server

Microsoft Azure Data Lake Storage MCP Server

MCP Server for kubernetes management commands

Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries.

📙 Amazon Web Services — a practical guide

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

MCP server for Spot.io (Spotinst) API - Ocean clusters, VNGs, Elastigroups, costs, right-sizing across AWS and Azure

Unified deployment management MCP server for Vercel, Render, Railway, and Fly.io

Multi-cloud cost management MCP server (Azure GCP). Read-only access to spending, anomalies, forecasts, budgets, and guided FinOps workflows. Ask your AI about your cloud bill.

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

open source CLI to control Anythink from the command line

Layer 4 load balancer with dynamic configuration loading

Talk with Azure using MCP

BentoML is a machine learning model serving framework and GPU-accelerated inference server designed to package, deploy, and scale AI models as production-ready REST APIs. It functions as an AI model lifecycle manager and an inference graph orchestrator, enabling the chaining of multiple models and custom logic into complex pipelines for advanced task sequences. The framework distinguishes itself through a dynamic batching engine that optimizes GPU throughput and an artifact-based packaging system that bundles model weights and dependencies into immutable archives for consistent deployment. It

Full Portkey Admin API MCP server

MCP server for managing Proxmox VE clusters through AI assistants