"Unreal Engine" matching MCP servers:

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.

Diagnoses a domain's email authentication — SPF, DMARC, DKIM, MX, blacklists and domain or SSL expiry - and returns copy-paste fix records generated by a validating engine, never a language model. The MCP server is hosted remotely; this repository carries the plugin manifest, connector config and bundled skill.

Wraps ipspace/netlab as an engine to give LLMs access to validated, lab-tested network device configurations instead of hallucinated ones.

Enables MCP clients to run real-time domain intelligence lookups over stdio, returning WHOIS/RDAP, DNS records, IP resolution, a 0–100 threat risk score, and an AI-written summary, with batch queries of up to 100 domains. All calls are delegated to a public REST API and metered against the caller's own environment-supplied API key, so no engine code, database, or stored data is required locally.

Enables AI assistants to securely investigate packet captures through Wireshark's tshark engine, with bounded tools for protocol inventory, TCP failure diagnosis, latency measurement, and threat hunting.

Provides access to Shodan's IoT search engine API for device search, host intelligence, exploit database, network scanning, and security analysis through natural language.

Enables AI agents to manage an entire fleet of servers over SSH through MCP, fanning a single intent out across many hosts with target expressions while enforcing a policy engine, approval gates, and tamper-evident audit logs. Supports rolling execution with circuit breakers, cross-host diffing, bulk file transfer, tmux sessions, and YAML workflows.

Enables external local AI agents to connect to VPS hosts, type into and read back from live SSH terminals, run commands, and trigger high-level plan-execute agent tasks over stdio or Streamable HTTP. Every write goes through a danger-command risk engine with configurable approval policies, capability toggles, and audited mcp provenance.