"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

Enables unified administrative control over Cloudflare, Porkbun, Docker, Proxmox VE, Nginx Proxy Manager/NPMPlus, Uptime Kuma, Authentik, and Coolify. Exposes service discovery and action execution through three MCP tools with roughly 150 cataloged operations for managing DNS, containers, VMs, proxies, monitors, users, and related infrastructure.

Open-source, Windows-first control plane for operating local and homelab services through typed MCP servers, featuring 13 servers and 290 tools with infrastructure adapters for Windows, Ubuntu, Docker, and more.

AI-powered cybersecurity automation platform with 155+ security tools for network, web, cloud, and binary analysis, controllable via natural language through MCP-compatible AI assistants.

Enables inspecting and managing a Cloudflare account from MCP-compatible clients, with OAuth/PKCE support and a read-only mode for ChatGPT, plus a legacy bearer-token path for full tool access.

Enables AI agents to safely read, audit, and manage Clash Verge Rev / Mihomo configuration with read-only and controlled runtime operations.

Enables AI agents and MCP clients to audit, monitor, diagnose, and safely manage Grandstream UCM phone systems, including extension status, call reports, site reconciliation, and confirmed test calls or admin edits.

Enables AI agents to make auditable, conditional edits to supported network inventory device fields through the community REST API, retaining durable history, receipts, and conflict-aware optimistic undo and reconciliation.

Enables AI assistants to manage Cloudflare infrastructure including DNS records, cache purging, SSL settings, Workers, and analytics through the Cloudflare API. Eliminates dashboard context-switching by allowing natural language control of domain management and infrastructure operations.

Enables LLMs to configure Tencent Cloud resources such as DNSPod DNS records and CVM/Lighthouse security group rules by controlling a locally logged-in Edge browser over CDP, leveraging existing login state without needing API keys or credentials.

A governed MCP server that enforces OAuth 2.1 scope checking and policy-driven access control for AI agents, providing a full audit trail on every tool call. It includes tools for Cisco Webex Contact Center knowledge search and SD-WAN network operations.

MCP server with tools for managing routers, enabling network control through natural language.

Enables AI assistants to bulk-check hundreds of brainstormed domain names in a single call, reporting which are available, taken, or reserved along with buy links and prices from multiple registrars. It runs locally via DNS, RDAP, and WHOIS lookups, with optional registrar API keys for confirming availability and premium pricing.

MCP server for managing remote servers via SSH, enabling command execution, file transfer, rsync, tunnels, health checks, backups, and database operations.

Enables AI to query live weather, domains, IPs, DNS, SSL, currency rates, and more via the APIFreaks API.

MCP (Model Context Protocol) server for rustunnel. Lets AI agents (Claude Code, Cursor, Windsurf) create and manage public tunnels to local services from inside an agent session.

Enables AI apps to inspect and manage a NextDNS account in plain language — profiles, analytics, query logs, blocklists, security and parental control settings — with every change saved and reversible via undo. It runs self-hosted on your own computer or server, keeps per-profile read/write/hidden permissions, and requires double confirmation for deletions or overwrites.

MCP server for managing GoDaddy DNS records. Enables listing, adding, replacing, and deleting DNS records, and checking domain availability via natural language.

Enables reading nginx configs, managing reverse proxy hosts, and handling SSL certificates via certbot, with read-only tools ready and mutating tools guarded as stubs.

Enables MCP-capable AI clients to inspect live lab topology, manage terminal sessions, run commands, collect evidence, and support network investigation, troubleshooting, and validation while engineers retain control over managed definitions and decisions.

Enables AI agents to perform compensating-control lifecycle operations on Check Point firewalls, including adding access rules, publishing sessions, and installing policies.