"A guide for managing personal files" matching MCP servers:

MCP server that gives AI agents isolated, named Linux computers with stable IDs and lifecycle control. Supports multiple backends like Docker, Fly Machines, Modal, and E2B, with a dashboard for managing sandboxes.

A VMware ESXi/vCenter management server based on MCP (Machine Control Protocol), providing simple REST API interfaces for virtual machine management.

MCP server that integrates with Coolify to let AI assistants manage Coolify instances via a clean toolkit wrapping the official REST API.

A Node.js application that provides a JSON-RPC interface to interact with CO2 sensor data, working in both simulation mode and with real Raspberry Pi Pico hardware connections.

Connects AI agents to microsandbox for creating lightweight sandboxes, executing code, managing files, and monitoring resources.

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

Serves as a personal MCP hub for development, detecting the current stack and monorepo root, managing Docker Compose actions, querying Context7 documentation, and interacting with Nexus, while also forwarding tools from optional external MCP servers.

A comprehensive MCP server providing 92 tools for managing Proxmox Virtual Environment, including QEMU VMs and LXC containers.

Enables managing Pterodactyl Panel 1.x and 2.0 servers, files, databases, schedules, backups, users, and administrative resources across multiple panels through Client, Application, and Admin APIs. Supports stdio, Streamable HTTP, Docker, and Cloudflare Workers with runtime panel switching and automatic API-version detection.

Linux sandboxes for AI agents, each a Firecracker microVM. Run code, keep files, pause and wake with memory kept, snapshot and fork.

Enables managing Pterodactyl Game Panel servers via Client and Application APIs, including power actions, files, databases, backups, schedules, and administrative operations.

Provider-neutral MCP server for managing VirtualBox, VMware Fusion, and VMware Workstation, offering tools for VM lifecycle, configuration, snapshots, guest operations, networking, and artifact resolution.

A unified mesh control layer that provides 30 MCP tools for managing distributed infrastructure, enabling AI agents to execute commands, transfer files, and manage Docker containers across multiple nodes. It features persistent SSH2 connection pooling and cross-node configuration synchronization to unify disparate servers into a single interface.

MCP server for Hetzner. Enables managing cloud projects, account resources, and dedicated servers, with the entire REST API reachable through a searchable tool catalog.

A Python-based server enabling interaction with Proxmox hypervisors. It supports secure authentication and provides tools for managing nodes, VMs, clusters, and storage.

A Model Context Protocol server for managing Virtualbox and Vagrant virtual machines via a TypeScript interface. It enables users to programmatically create new VMs and monitor their status through simple JSON-RPC tools.

Enables self-hosted, per-panel access to Pterodactyl Application and Client APIs for managing servers, users, nodes, files, backups, schedules, and console output, with writes gated behind operator enablement.

Extensible MCP server for managing a homelab from Claude AI, enabling control of VMs, snapshots, services, and files via natural language.

Enables interaction with Proxmox VE for managing VMs, containers, storage, and cluster resources via natural language through the Model Context Protocol.

Provides a complete MCP server for managing Proxmox VE infrastructure with 115 specialized tools, enabling AI assistants and automation systems to perform complex virtualization tasks seamlessly.