"Cloud Computing and Related Topics" matching MCP servers:

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,

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.

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

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

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

A Model Context Protocol server that allows language models to manage Hetzner Cloud resources through structured functions, including servers, volumes, firewalls, and SSH keys.

MCP server with 24 tools for live workspace state resolution. Pre-resolves git status, service health, file queries, memory federation, and multi-agent coordination into markdown before the AI sees it. Single-file Python (pyyaml only), MIT. Serves over stdio and SSE. Published as io.github.tcconnally/perseus on the MCP Registry.

Manages AWS, Azure, and Hetzner Cloud resources, and executes remote SSH commands via MCP integration.

Enables interaction with Google Cloud Platform services through gcloud CLI commands via a Cloud Run deployed MCP server. Supports executing gcloud commands and managing GCP resources through natural language.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

A lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), allowing AI tools to retrieve AWS documentation and interact with AWS services.

A passive MCP server that exposes a toolbox of executable tools (shell, network, HTTP, AI search, SSH, S3 file operations) to autonomous agents via Streamable HTTP, with strong security features including Docker sandboxing and WAF.

Enables agents to inspect ROS topics, processes, tmux sessions, and logs, and to perform operational actions such as sending tmux commands, restarting services, executing commands in containers, and running SSH remote commands.

Enables interaction with Railway cloud platform through the CLI to manage projects, services, deployments, and environments. Supports creating projects, deploying templates, managing environment variables, and monitoring logs through natural language commands.

Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.

MCP server for running shell commands on a Linux development board via UART serial.

Bridges cloud-based AI orchestrators with local systems, enabling file management, terminal execution, and autonomous background tasks through the Model Context Protocol.

MCP server providing Git-related functionalities, primarily a tool to generate diffs for Git merge commits against their first parent.

Enables interaction with Hyperbolic's GPU cloud, allowing users to view available GPUs, rent instances, establish SSH connections, and run GPU-powered workloads through natural language commands.

A secure, local communication runtime bridge that interfaces a cloud-based Large Language Model (Claude Desktop) with a local machine execution environment using the Model Context Protocol (MCP).