"Using LLMs for Retrieving and Processing Web Content" 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 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.

Enables MCP clients to rent GPUs from ParalonCloud using natural language, including browsing available GPUs, starting and stopping rentals, and retrieving connection URLs.

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

Enables LLMs to search Docker Hub repositories, discover container images, and manage Docker Hub repositories and tags through natural language queries. Supports both public content access and authenticated operations with Docker Personal Access Tokens.

Exposes the Dockhand Docker management API as tools for LLMs, enabling container, stack, image, volume, and network management via natural language.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

Enables AI assistants to manage VMware Fusion virtual machines on macOS using the vmrun CLI, including starting, stopping, and snapshot operations.

An MCP server for TrueNAS that lets users manage ZFS pools, datasets, shares, snapshots, VMs, alerts, and network configuration through natural language, using a single hierarchical tool exposing 278 actions.

Provides a local, isolated Linux VM sandbox for AI agents using Apple's Virtualization.framework, enabling fast command execution (~60ms) and package management without cloud costs.

Provides tools to list, create, power on/off, and delete VMs on vCenter or ESXi hosts using natural language.

An MCP server that enables LLMs to execute Python code on GPU-accelerated compute nodes within SLURM-managed HPC environments. It bridges local clients to remote clusters by launching JupyterLab sessions via SLURM jobs to facilitate high-performance notebook-based computation.

Enables AI assistants to inspect and manage OpenStack clouds, including listing instances, checking quotas, and retrieving console logs. It supports opt-in write operations for creating and deleting servers, with a read-only default.

An MCP server for automating virtual or physical Android devices using the Gbox SDK. It enables users to manage app installations, capture screenshots, and perform complex UI actions through natural language instructions.

Enables managing Docker containers (run, list, stop, remove, view logs) through Claude Desktop using natural language commands.

Enables AI agents to capture high-quality screenshots from running QEMU virtual machines using the QEMU Machine Protocol (QMP), automatically discovering VMs and returning screenshots as PNG images.

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables AI assistants to interact with DDEV local development environments by querying databases, managing project states, and executing container commands. It provides comprehensive control over local services with a security-first approach using whitelisted operations.

Enables AI assistants to manage CloudLab/Emulab experiments, including listing experiments, controlling nodes (reboot, reload, power cycle), retrieving console logs, extending experiment time, and terminating experiments.

A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.