"Allowing a model to access and read content from links" matching MCP servers:

Enables administering one or many Pterodactyl panels from MCP-compatible clients through a configurable gateway, including server lifecycle control, console commands, file and backup management, and broad Client, Application, and Admin API requests.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

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

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

Enables MCP clients to inspect and operate Kubernetes clusters across multiple contexts, with read-only/read-write/admin access modes and security flags controlling namespaces, contexts, deletes, applies, and exec.

Enables read-only interaction with Proxmox homelab VMs and containers, allowing LLM agents to list VMs, monitor status and performance metrics, view snapshots, and check cluster health through natural language queries.

Enables an assistant to control a Tandy Color Computer 3 emulated in MAME, allowing typing, disk operations, screen viewing, and state management.

Enables programmatic control of a PNETLab network-emulation lab via natural language, allowing users to build topologies, wire links, push device configs, and boot the lab through an LLM agent.

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.

MCP server that exposes Podman host management as tools, allowing natural language control of containers, images, volumes, networks, and pods. Includes an administrative console with safety profiles for gated access.

A Model Context Protocol server that enables AI clients to inspect and manage an Unraid server via its GraphQL API, with read-only defaults and optional enabled mutations.

Enables control and management of Coolify self-hosted PaaS instances, allowing you to deploy applications, manage databases, monitor servers, and execute operations directly from AI assistants.

A Model Context Protocol (MCP) server that provides standardized access to OVH API services, enabling AI assistants to manage OVH cloud infrastructure.

A Model Context Protocol server for managing cloud servers, particularly DigitalOcean droplets, allowing users to identify providers via IP addresses and perform operations like power management, status monitoring, and resource usage tracking.

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.

Enables AI agents to control the H3C HCL network simulator through MCP, including creating topologies, adding/starting devices, wiring links, reading console output, and running CLI commands.

MCP server that provides AI agents with comprehensive access to VMware vSphere operations, including VM management, monitoring, and vSAN read-only monitoring, through a secure Docker environment.

A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.

Enables an AI assistant to read container logs and server metrics and, after confirmation, start/stop/restart whitelisted containers on an Unraid server via a restricted API, with audit logging and no root access.

Read-only MCP server for querying official dental professional registry data from the Regional Council of Dentistry of Maranhão, Brazil. Enables natural-language lookups via a single consult tool.

An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

A PROXMOX implementation containing 152 tools covering QEMU VMs, LXC, unified guest power, storage admin, cluster/tasks, snapshots, backups (incl. scheduled jobs), migration, HA, firewall (incl. IPSet CIDRs), access control, replication, SDN (read), ACME (read), pools, and console tickets.

Enables schema-validated access to all 680 Proxmox VE API endpoints plus curated guest, snapshot, backup, storage, and task tools, with read-only behavior by default and controlled writes when explicitly enabled.

A Model Context Protocol server that enables natural language control of Ludus cybersecurity training environments, allowing users to deploy, manage, and configure virtualized security training ranges.

A Model Context Protocol (MCP) server that provides safe, read-only access to Kubernetes resources for debugging and inspection. Built with security in mind, it offers comprehensive cluster visibility without modification capabilities.

A read-only Model Context Protocol server that enables clients and agents to discover labelled Docker services, query their status and resource usage, read bounded logs, and request differential reports, with optional local Ollama analysis advice.

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.

Provides comprehensive management of TrueNAS SCALE instances through 278 actions across 18 categories using a token-efficient hierarchical tool design. Users can perform tasks like storage management, service configuration, and system monitoring while benefiting from built-in safety confirmations and read-only dashboard resources.

A Model Context Protocol server that provides programmatic access to Amazon EKS clusters, allowing AI assistants to manage and interact with Kubernetes resources. It exposes cluster operations like listing pods as callable tools through a standardized interface.