30 open-source projects similar to faiscadev/fakecloud, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Fakecloud alternative.
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 for kubernetes management commands
MCP server connecting to Kubernetes
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。
Published in CNCF Landscape: A MCP server for Kubernetes.
MCP Server for kubernetes management and diagnose your cluster and applications
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
🌍 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. ⚡️
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 Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
This project serves as a comprehensive directory of open-source libraries, tools, and technical documentation designed for building and managing infrastructure on the Amazon Web Services platform. It functions as a centralized knowledge base, aggregating software development kits, command-line utilities, and editor extensions to assist developers in cloud-native application development. The directory distinguishes itself through a categorical taxonomy that organizes disparate technical resources into a structured hierarchy. It incorporates community-driven metadata aggregation and automated m
Layer 4 load balancer with dynamic configuration loading
This repository is for the active development of the Azure SDK for Rust. For consumers of the SDK we recommend visiting Docs.rs and looking up the docs for any of libraries in the SDK.
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
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.
A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management.
A comprehensive Model Context Protocol (MCP) server for managing Netskope Private Access (NPA) infrastructure through AI-powered automation.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
Microsoft Azure Data Lake Storage MCP Server
The Orchestration Engine To Deliver Self-Service Infrastructure ⚡️
A Rust runtime for AWS Lambda
AWS SDK for the Rust Programming Language
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
The Azure MCP Server, bringing the power of Azure to your agents.
AlibabaCloud CloudOps MCP Server