"Oracle Fusion Cloud API Documentation and Resources" matching MCP servers:

Enables AI assistants to manage VMware Fusion virtual machines on macOS using the vmrun CLI, including starting, stopping, and snapshot operations.

Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,

Manages and views virtual machines across multiple cloud providers (AWS, Azure, Alibaba Cloud). Enables AI assistants to list, inspect, and control VMs through a unified MCP interface.

Enables MCP-aware agents to read and explore Oracle Cloud Infrastructure — listing, fetching, and searching across 39 resource types spanning Identity, Compute, Block Volume, Networking, Object Storage, and OKE. Runs locally over stdio using credentials from ~/.oci/config, with fail-closed safety gates and audit logging governing future write operations.

Enables management of Verda Cloud GPU instances through Claude, allowing users to deploy spot instances, attach volumes, and monitor status. It supports automated workflows for checking availability and configuring instances with startup scripts.

MCP server for managing Yandex Cloud infrastructure including Compute VMs, Object Storage, Serverless Functions, and Operations.

Manage American Cloud VMs, Kubernetes, storage, networking, DNS and managed databases from Claude, Cursor or any MCP client. Runs on your machine and is read-only until you add --allow-writes.

Provides ChatGPT with a persistent, VM-like Linux engineering workstation inside Docker, with root access, development tools, and a private nested Docker daemon.

Enables managing Akamai Cloud (Linode) Compute Instances via MCP, with tools to list, create, view, update, delete, boot, reboot, shutdown, resize, and clone VMs. Each connecting client brings its own Linode Personal Access Token, which is passed through without being stored.

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

Enables users to list GKE clusters, describe virtual machines, and retrieve billing information through MCP read tools, without applying production changes.

MCP server for the Agent Platform API, enabling management of sandbox environments through MCP protocol. Exposes tools to interact with sandbox lifecycle operations such as start, stop, and status checks.

Enables managing Hostkey cloud resources including servers, catalog, power, OS reinstall, network, DNS, snapshots, IPMI, ISO, S3, Remote Hands, billing, and API keys through natural language.

An MCP server implementation that enables AI assistants to interact with and manage Sakura Cloud infrastructure, including servers, disks, networks, and containerized applications.

Enables AI assistants to provision and manage cloud infrastructure and AI/ML workloads—such as GPUs, nodes, storage, networking, databases, Kubernetes, and training/inference resources—through natural language. It also provides a universal REST tool for authenticated access to the underlying cloud API.

Read-only MCP server for Yandex Cloud resources including VMs, networks, disks, and more, with support for cloud/organization level access.

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

Expose Nutanix V4 APIs as tools callable by AI assistants — Claude, Cursor, and any MCP-compatible client.

Enables LLMs to manage and monitor Hetzner Cloud infrastructure, including servers, firewalls, networks, and snapshots, while keeping the API token local and secure.

Persistent, secure LXC sandbox environments for AI agents with native MCP support.

Enables deployment and management of GPU workloads across multiple cloud providers (RunPod, Vast.ai) with intelligent GPU selection, resource monitoring, and telemetry tracking through Redis, ClickHouse, and SkyPilot integration.

Enables LLMs to create, destroy, and manage AWS EC2 instances, including running commands via interactive shells.

Install and manage a self-hosted XNS Relayer — S3-compatible distributed object storage — conversationally over stdio. 15 tools cover prerequisites, account registration, install, claim, health, VPD configuration, S3 verification, CLI credentials, settings, restart, and backups.

Enables managing Hostkey .ru cloud account resources via natural language, including servers, ordering, power control, OS reinstall, networking, DNS, snapshots, and billing.

Enables agents to deploy, run, expose, inspect, and manage isolated cloud environments, including databases, caches, browsers, GitHub-hosted apps, and arbitrary OCI images, via MCP tools.

A stateless MCP server for the full Hostinger API, exposing 305 tools with OAuth 2.1 and API-token authentication.

Enables interaction with Google Kubernetes Engine (GKE) to list clusters, manage node pools, and retrieve server configurations. It includes automated scripts for deploying and testing sample applications across multiple GKE Autopilot clusters.

Enables AI assistants to manage Google Cloud Batch HPC jobs and Compute Engine VMs through conversational prompts, including submitting jobs, provisioning instances, and retrieving diagnostics.

Enables Claude Code to manage Hetzner Cloud servers, including creating, deleting, powering on/off, and rebooting servers, as well as managing SSH keys and listing resources.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.