"Resources to Improve AI Coding Ability in C++ and Rust" matching MCP servers:

Enables AI assistants to operate Juniper Junos and SRX network devices over NETCONF and SCP, running operational CLI and PFE commands, inspecting and diffing configuration, validating and committing changes with confirmed auto-rollback, and managing SRX security workflows such as signature-package updates, chassis-cluster health, and read-only policy and address-book inspection.

Exposes any stdio-based MCP server over the MCP Streamable HTTP transport so remote clients can reach it, spawning an isolated child process per session and gating access behind a secret URL path.

MCP server that lets an AI agent manage Proxmox VE in natural language, with policy-driven security, read-only mode, two-step confirmations, and audit logging.

Enables authenticated, scoped control of Palo Alto Networks PAN-OS firewalls through the Model Context Protocol, covering device inventory lookups, fact gathering, operational commands, and configuration retrieval. It supports bearer-token access with per-token device and tool scopes, TLS and stdio transports, and a guarded candidate-configuration lifecycle with audit logging.

Provides AI-aware failover for Mihomo proxy on macOS by validating real OpenAI paths and switching proxy groups after verified hard failures. It offers a local stdio MCP server for diagnostics, status, and safe management of the AI proxy group.

Enables red-team and blue-team security workflows on BlackArch Linux by wrapping local tools like nmap, gobuster, nikto, and hydra as MCP tools, with scope-gating that prevents unauthorized scanning against any target not explicitly listed in a local scope.yaml file.

Enables discovery of public API operations, scoped read-only diagnostics for domains, DNS, and mail, and a controlled write lifecycle that requires independent human approval before any mutation.

Enables AI assistants to query system health, metrics, service reconnaissance, run multi-node patrols, and send incident alerts across distributed infrastructure through MCP tools.

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.

A simple MCP server providing ping, echo, and TCP host health-check tools with latency measurement. It enables transport testing and real network connectivity checks through natural language.

Enables AI assistants to manage pfSense firewalls using 17 tools for system status, firewall rules, DHCP, DNS, monitoring, and service management via the pfSense REST API.

IP Network AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

High-performance TypeScript MCP server for MikroTik RouterOS management, enabling Claude, GPT-4, or any MCP-compatible AI to manage routers through natural language with dynamic API discovery, VPN management, and configuration backup.

Enables LLM agents to triage network incidents by fetching device telemetry, inspecting syslogs, and executing traffic reroutes through MCP tools.

Enables AI agents to analyze PCAP files for network forensics using Wireshark/tshark, providing high-performance packet inspection, filtering, and protocol analysis through the Model Context Protocol.

Connects Claude to OpenNMS, allowing plain language interaction with alarms, nodes, events, asset records, categories, and service collection.

Enables network troubleshooting through an MCP Streamable HTTP endpoint, exposing diagnostic tools for Cisco Packet Tracer labs with human-in-the-loop review and NIST/CIS security validation.

Enables AI agents to safely troubleshoot networks through read-only tools for device inventory, interface status, VLAN paths, BGP neighbors, route lookups, and interface error detection. Integrates with Microsoft Copilot Studio and Teams for natural-language-driven network diagnostics.

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.

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.

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.

Enables AI assistants to read IT asset management, ITSM, and network inventory data from Alloy Navigator via its REST API, supporting object queries, activity logs, and reference-value lookups using OAuth2 application credentials.

Enables AI assistants to read device/sensor status, channel measurement history, and alarms from a Paessler PRTG monitoring instance via its REST API v2, with a read-only tool surface.

Enables AI assistants to read sites, hosts, device inventories, WAN/ISP health metrics, and SD-WAN configuration/status from Ubiquiti UniFi's Cloud Site Manager API.

Enables AI agents to perform passive reconnaissance, vulnerability intelligence, DNS analysis, and device search using Shodan's database of internet-connected devices, all from within your IDE.

MCP server for Domotz network monitoring and management. Enables AI assistants to query network devices, alerts, and topology via the Domotz API.

Enables AI assistants to perform printer/queue, site, workstation, and read-only user/group lookups through Printix's Cloud Print API.

Enables AI assistants to monitor Ubiquiti UISP network infrastructure through read-only REST API access to sites, devices, outages, logs, data links, gateways, background tasks, firmware, and speed tests.

Connects AI agents to an ASUS IPMI expansion card so they can see the host screen, control mouse and keyboard, read sensors, manage power, and update card firmware through MCP tools.