"mcp hetzner dns" matching MCP servers:

Enables LLMs to manage and monitor Hetzner Cloud infrastructure, including servers, firewalls, networks, and snapshots, while keeping the API token local and secure.

Provides read-only network diagnostics for a target host, including DNS, TLS, HTTP, and registry data.

Manage AWS, Hetzner, OVH, and custom SSH servers from AI agents — commands, logs, CloudWatch/CloudTrail, IP banning, and S3, with guard tiers and a full audit trail.

Enables managing and observing Technitium DNS Server through MCP, including read-only or read-write tool surfaces, scoped bearer authentication, audit logging, and confirmation gates for destructive operations.

Enables AI agents to monitor, trace, query, and manage local DNS resolver chains using MCP, with health checks, packet tracing, Pi-hole log access, and automated failover via natural language.

Captures DNS queries leaving your Mac and serves them to Claude via MCP for traffic pattern analysis, answering questions about top domains, categories, and temporal patterns.

Enables web audits for performance, security, SEO, and DNS, returning structured improvement prompts for AI assistants.

Read-only diagnostic MCP server that exposes system stats, Docker status, OOM events, container logs, Sidekiq queues, and local Chatwoot health checks for Claude to review a Hetzner server.

MCP server for NextDNS that enables managing profiles, blocklists, analytics, DNS logs, and parental controls through natural language.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

Provides safe, read-only network diagnostics (ping, DNS, HTTP health, TLS expiry, port checks, traceroute, and fleet sweeps) for monitoring infrastructure.

Enables diagnosing web hosting and server issues by running live HTTP, SSL, DNS, and security-header checks alongside a searchable troubleshooting knowledge base.

MCP server for Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.

A task manager's view of a Windows or Linux PC for AI assistants: processes, per-core CPU and who ran on it, disks and the files they serve, network connections and DNS lookups, GPUs, sensors, services, stutters and a 7-day history. Actions (ending or suspending processes, controlling services, memory dumps) are allowed kind by kind, and it runs locally over stdio or on 127.0.0.1 only.

Enables AI agents to analyze local or base64-encoded PCAP/PCAPng captures through bounded MCP tools for protocol summaries, conversations, DNS/HTTP/TLS/QUIC inspection, credential and beacon detection, entropy checks, filtering, and Zeek-compatible export.

Provides network and proxy diagnostics for Windows, enabling users to check GitHub reachability, system proxy settings, proxy port status, run DNS/TCP/HTTP checks, scan hosts file conflicts, and get concrete suggestions for fixes.

MCP server for Keenetic routers that runs on the router itself via Entware: clients, DHCP, Wi-Fi, VPN, logs, port forwarding and DNS records, with dry-run by default on every write. A background watcher calls out from the router when a log or config rule matches.

Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN JSON verdicts with policy evaluation and NIST AI RMF mapping.

An MCP server that gives AI assistants direct access to Kubernetes clusters for pod management and network debugging (DNS, NetworkPolicy, ingress, service mesh) and correlates Dynatrace observability with OpenTelemetry self-monitoring, which automatically ships traces, metrics, and logs to Dynatrace.

Enables users to connect to and manage various Cloudflare services such as Workers, observability, DNS analytics, and more through natural language interactions via MCP clients.

Enables an LLM to triage packet captures with nine tools that return capped summaries of conversations, talkers, protocols, DNS, HTTP, and TLS, then drill into individual packets, with every finding citing the packet number that proves it. Reads classic pcap and pcapng files using only the Python standard library, so no tshark or other external binary is required.

Enables local analysis of classic libpcap capture files through MCP tools covering DNS, DHCP, ICMP, TCP connections, anomalies, retransmissions, traffic flows, SIP calls, and capture summaries without network access or API keys.

Enables comprehensive management of Tailscale networks including device management, DNS configuration, file sharing via Taildrop, security monitoring, and network automation with built-in Grafana/Prometheus observability stack.

Enables DNS and email security analysis through passive and active scanning capabilities. Provides comprehensive domain security checks including SPF, DMARC, DNSSEC validation, MX record analysis, and SMTP connectivity testing.

Enables AI assistants to troubleshoot AWS and hybrid network connectivity by analyzing hop-by-hop paths across security groups, NACLs, route tables, Transit Gateway routes, VPN/BGP, DNS, and flow logs to identify blocking rules and suggest fixes.

Lets coding agents create and manage heartbeat, website, TCP, DNS, SSL certificate, and domain monitoring checks, and read check history, incidents, uptime, latency metrics, and dashboards.

Enables MCP clients to inspect and manage one or more Technitium DNS Server instances through their HTTP API, including stats, zones, records, query logs, and optional write actions.

Enables AI assistants to query servers, uptime monitors, incidents, DNS, domains, certificates, and audit logs in plain language, with limited on-call actions when permitted.

Enables AI assistants to analyze Amazon EKS node logs collected by the EKS Log Collector script. It provides tools and troubleshooting workflows for diagnosing issues with VPC CNI, kubelet, DNS, and general node connectivity.

Enables AI assistants to triage packet captures in natural language by parsing protocols, extracting TLS/JA3 fingerprints, hunting credentials and C2 beaconing, calculating DNS entropy, and reassembling TCP/UDP streams into structured JSON evidence.

Enables users to manage and diagnose a pfSense firewall in plain English from Claude Desktop, Claude Code, or any MCP client, covering firewall rules, NAT, VPNs, routing, DNS, DHCP, certificates, services, logs, and troubleshooting through the pfSense REST API. Every configuration change runs through safety guardrails with explicit confirmation, rate limiting, and captured config revisions that can be rolled back.

Uptime, SSL, DNS and domain monitoring you can talk to: check, create and manage monitors for all your client sites from Claude, ChatGPT, or any MCP client.