MCP servers for AWS, Google Cloud, Azure, Cloudflare and other platforms: inspect resources, read logs and manage deployments from your AI assistant. 567 servers in this category.
Enables AI assistants to interact with HPE GreenLake platform services including devices, workspaces, subscriptions, and audit logs.
$claude mcp add greenlake-users-mcp -- uvx greenlake-users-mcpEnables AI assistants to interact with HPE GreenLake platform services including devices, workspaces, subscriptions, and audit logs.
$claude mcp add greenlake-subscriptions-mcp -- uvx greenlake-subscriptions-mcpEnables AI assistants to interact with HPE GreenLake platform services including devices, workspaces, subscriptions, and audit logs.
$claude mcp add greenlake-service-catalog-mcp -- uvx greenlake-service-catalog-mcpEnables AI assistants to interact with HPE GreenLake platform services including devices, workspaces, subscriptions, and audit logs.
$claude mcp add greenlake-devices-mcp -- uvx greenlake-devices-mcp
Lets AI assistants inspect OpenStack clouds including compute, images, block storage, networking, and Keystone catalog.
$claude mcp add openstack-mcp-server -- docker run -i --rm ghcr.io/oomchiller/openstack-mcp-server:0.1.2
Delivers YouTube videos, audio, or clips directly to S3 or other supported cloud storage asynchronously.
$https://github.com/rocosen/flashdata-mcp/releases/download/smithery-task-servers-v0.1.1/flashdata-youtube-download-0.1.1.mcpb
Allows an AI assistant to find, launch, extend, and stop private GPUs with cost quotes provided before any charges are applied.
$claude mcp add computenexa-mcp -- uvx computenexa-mcp
Lets an AI client create, read, update, and manage Google Sheets spreadsheets through the Google Sheets and Drive APIs.
Provides a collection of MCP servers that allow AI clients to manage Volcengine cloud resources, databases, storage, and various third-party ecosystem tools.
Orchestrates accelerated AI/ML and HPC workloads across multiple AWS Regions using a single authenticated API and EKS Auto Mode.
Allows an AI client to manage cloud infrastructure, Kubernetes clusters, CI/CD pipelines, and DevOps tools using natural language.
$claude mcp add devops-agent -- npx -y @devopsagent/mcp-server
Designs, prices, and deploys AWS and GCP cloud infrastructure from natural language requirements using Terraform.
$claude mcp add insideout-agent-skills -- docker run -i --rm docker.io/luthersystems/insideout-mcp:v0.36.3
Provides verifiable, sandboxed cloud compute for AI agents with signed receipts for every autonomous action and cost.
Runs and serves AI agents and apps inside a self-hosted multi-tenant runtime with governed tools, scoped credentials, and budget controls.
Lets an AI assistant deploy and manage backend web apps, APIs, workers, and managed Postgres databases.
Provides LLM clients conversational access to Azure cost analysis, budget tracking, forecasting, and resource optimization across multiple subscriptions.
$claude mcp add azure-finops-mcp-server -- uvx azure-finops-mcp
Provides samples for building and deploying custom remote MCP servers to the cloud with Azure Functions in Python.
Lets AI agents run on a hosted cloud or edge deployment and operate a user's authorized computers, browsers, terminals and Android phones.
Lets an AI client inspect and manage an OpenStack project's compute, network, storage, and telemetry resources, read-only by default.
Lets AI agents browse and manage files across multiple S3-compatible storage providers like AWS, MinIO, and Cloudflare R2.