"Resources for Learning Web Scraping" 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.

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

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

Enables managing RunPod compute for the Learning-to-Swim replication through natural language, including pod lifecycle, SSH/rsync file transfer, detached training jobs, and supervised runs with cost guardrails.

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

Enables AI models to securely query and manage virtual machines and virtualized resources via the libvirt API through the Model Context Protocol.

A server tool for running Deep Learning models that offers Shell execution, Ngrok connectivity, and Docker container hosting with support for multiple AI frameworks including Anthropic, Gemini, and OpenAI.

A Model Context Protocol (MCP) server for Proxmox Virtual Environment that enables AI assistants to manage virtual machines, containers, nodes, and resources through natural language interactions.

An MCP server for interacting with the Proxmox Virtual Environment API, enabling management of VMs, containers, storage, and cluster resources through natural language.

This MCP provides comprehensive tools and resources for MSX software development, testing, and automation through openMSX emulator.

An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.

Enables managing Proxmox Virtual Environment resources including VMs, containers, storage, cluster status, nodes, and tasks.

A Model Control Protocol server that extends AI assistants with Kubernetes operations capabilities, allowing for managing deployments, pods, services and other K8s resources.

Enables interaction with Kubernetes clusters through 32 specialized tools for managing resources, deployments, and services. Provides both CLI and web interfaces for real-time Kubernetes operations powered by Google Gemini.

Enables managing Docker containers and Portainer resources through natural language, supporting stack deployment, container operations, and environment monitoring.

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

Enables Claude Code to manage Hetzner Cloud servers, including creating, deleting, powering on/off, and rebooting servers, as well as managing SSH keys and listing resources.

Enables MCP-capable clients to inventory and operate Azure resources via the Azure Resource Manager API, including resource groups, tags, and VM power, while enforcing governance controls like scoping, protected groups, location allowlists, delete gating, and confirmation.

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