MCP Servers

/ - Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming

/ - Get up-to-date EC2 pricing information with one call. Fast. Powered by a pre-parsed AWS pricing catalogue.

One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.

/ - Kubernetes cluster operations through MCP

/ - MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.

A Model Context Protocol server that integrates with Tilt to provide programmatic access to Tilt resources, logs, and management operations for Kubernetes development environments.

/ - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.

/ - A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.

A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.

A - powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.

🎖️ - A MCP server for LocalStack to manage local AWS environments, including lifecycle operations, infra deployments, log analysis, fault injection, and state management.

A wrapper around the Azure CLI command line that allows you to talk directly to Azure

Multi-cloud pricing comparison across AWS, Azure, GCP, and OCI with 2,700+ instance types. Real-time pricing from public APIs, workload calculators, and migration savings estimator.

🎖️ - The official Terraform MCP Server seamlessly integrates with the Terraform ecosystem, enabling provider discovery, module analysis, and direct Registry API integration for advanced Infrastructure as Code workflows.

/ - A Model Context Protocol server for querying and analyzing Azure resources at scale using Azure Resource Graph, enabling AI assistants to explore and monitor Azure infrastructure.

/ - Typescript implementation of Kubernetes cluster operations for pods, deployments, services.

/ - MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata.

/ - MCP Server for Kubernetes integrated with Open-WebUI, bridging the gap between DevOps and non-technical teams. Supports kubectl and helm operations through natural-language commands.

🎖️ - An MCP server that allows AI agents to manage Kubernetes resources through Cyclops abstraction

A VMware ESXi/vCenter management server based on MCP (Model Control Protocol), providing simple REST API interfaces for virtual machine management.

🎖️ - AWS MCP servers for seamless integration with AWS services and resources.

A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (kubectl, helm, istioctl, and argocd) using Unix pipes in a safe Docker environment with multi-architecture support.

A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support