"Information about PostgreSQL MCP (Managed Cloud Provider or other related concepts)" matching MCP servers:

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 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.

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,

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

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

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.

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

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.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

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 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 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.

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

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Read-only MCP server to list your SkyNode servers and check their status (IP, state, region, expiry). It does not modify or control servers.

A Linux system monitoring MCP server that provides real-time information on CPU, memory, disk, network, processes, Docker, security, and more via MCP tools.