"Terraform Cloud - Managing Cost and Performance" 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.

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 a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

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 managing Google Cloud Platform infrastructure through natural language, including VM deployment, SSH key management, remote command execution, and Terraform infrastructure-as-code operations.

Enables managing multiple remote Linux hosts over SSH via MCP, with command execution, SFTP file operations, and Windows DPAPI-protected credentials.

MCP server for managing Proxmox VE resources, VM/CT lifecycle, snapshots, backups, and clones via natural language.

A high-performance MCP server that manages persistent SSH sessions via a local tmux instance, enabling command execution, file transfer, and session monitoring for AI agents.

MCP-native infrastructure ops for deploying and managing self-hosted OpenClaw instances across cloud providers or local VMs, with read-only mode, destructive-action confirmation, and audit logs.

Enables executing shell commands without permission prompts, including running commands and managing background processes.

An MCP server that enables managing SSH hosts, tunnels, Docker containers, and monitoring metrics via Termix's REST API.

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.