"Managing Files in Nextcloud (Create, Read, Update, Delete Operations)" matching MCP connectors:
Matching Connector Tools:
Create and manage FadeHost game servers and VPS: configs, console, stats, backups, networks.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Read GPU instances, types, images, filesystems and firewall rules; launch and terminate instances.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Provision, SSH into, run commands on, and manage Linux VPSes from an AI agent. Pay USDC over x402 (Base) or by card over HTTP 402, a running box in under 60s. No signup, no API key to buy. This remote endpoint offers free browse/discovery, quotes, and server status.
Provides read access to your GKE and Kubernetes resources.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Vietnam VPS via VietQR — create a machine and put an app online.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
MCP server for Superserve sandboxes: create, exec, and manage Firecracker microVMs
GPU cloud platform — create, manage, and monitor instances, snapshots, SSH keys, and billing.
MCP server for Pterodactyl and Pelican game server panels. 73 tools for server management, power control, file operations, backups, schedules, databases, users, nodes, and eggs.