"Creating an application" matching MCP servers:

An MCP server that lets an AI assistant manage your Keenetic router in plain language — list connected devices, pin static DHCP leases, rename devices, check WAN status, and reboot.

Enables an LLM to read and write NetBox data through its REST API, supporting listing endpoints, inspecting schemas, and creating, updating, or deleting objects.

Provides read-only SSH access to network devices (routers, switches, firewalls) with command allow/deny policies, nt-templates output parsing, and an audit trail, enabling an AI agent to query device state securely.

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 an LLM agent to investigate a Kong Gateway through fourteen read-only, schema-validated tools and a deterministic diagnostic engine, so it can trace routes, services, plugins and upstream health and explain faults such as why authentication is failing on a path. Every fact comes from the gateway itself, and the model only selects tools and writes the evidence-backed explanation.

Lets an agent mint and manage its own hostnames on DNSMint, through the Model Context Protocol.

An MCP server that analyzes firewall rule overlap, duplication, shadowing, and conflicts across multi-vendor firewall policies.

MCP server for administering wg-easy (WireGuard Easy) instances, enabling listing, creating, updating, enabling/disabling, and deleting WireGuard clients, fetching configs and QR codes, and inspecting server status via the wg-easy REST API.

Exposes network-monitoring tools (query metrics, analyze windows, compare, logs, status, runbooks, speed tests) as an MCP server for agentic workflows. Designed with evaluation suites, cost-aware model routing, and semantic tool retrieval.

An MCP server for domain name availability checking, WHOIS lookups, and domain suggestions — no API key required.

Enables AI agents to query and manage Cisco Crosswork Network Controller resources such as devices, credential profiles, providers, topology, tags, alarms, users, applications, and inventory jobs, with optional write operations for creating, updating, and deleting devices, credential profiles, and providers.

An MCP server that gives an AI agent safe, high-level control over Namecheap domains – availability checks, registration, DNS, email forwarding, transfers, WhoisGuard privacy, and account balance via Namecheap's XML API. Designed for safe LLM interaction with built-in confirmation gates and read-modify-write DNS operations.

An MCP server that lets Claude monitor and manage a TrueNAS box in plain English. It is deliberately read-only, providing tools to check alerts, storage pools, snapshots, services, and more.

Enables AI assistants to read endpoint/network inventory, security policies, the malware-hash blocklist, and scheduled/instant reports from Bitdefender GravityZone through its JSON-RPC API.

MCP server for live IP and domain reputation checks via DNS lookups, providing abuse scores and network type without requiring an API key.

A production-ready MCP server that wraps Nmap to enable AI agents to perform automated network security assessments, including port scanning, host discovery, service detection, OS fingerprinting, and vulnerability scanning.

An MCP server for managing Hetzner DNS zones and RRSets via the Hetzner Cloud API. It enables listing, creating, updating, deleting, importing/exporting zone files, and managing protection and TTLs from MCP clients.

An MCP server for domain intelligence — WHOIS, DNS records, SSL certificate inspection, SPF/DMARC validation, security-header audits, and blacklist/reputation checks, callable by AI agents. Powered by domainintel.app; runs server-side, no local setup.

Enables AI agents to securely access and query Prisma SD-WAN operational data for inventory, health checks, topology analysis, and policy verification through natural language.

An MCP server that enables AI assistants to diagnose network and service problems by walking a structured funnel of cURL timing metrics, identifying which hop is at fault, and providing targeted recommendations.