"Finding Ohad Zafrir's LinkedIn Profile" matching MCP servers:

Enables MCP-compatible agents to route HTTP requests through the Tor network, providing anonymity and access to .onion services. Includes tools for fetching URLs, checking exit IP, and forcing new Tor circuits.

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.

A Model Context Protocol server that enables AI assistants to read and safely modify TP-Link Omada networks through capability-gated tools, with a default read-only profile and dry-run writes for security.

MCP server for managing a Marzban proxy/VPN panel — full user, subscription, node, host, and config lifecycle through 21 tools and 3 investigation prompts. Enforces env-only credentials, profile-gated tool visibility (readonly/standard/full), and a confirmation-token gate on every destructive call.

Enables read-only access to Circle parental-control data, including family profiles and per-profile internet usage.

An MCP server that gives AI coding agents structured port intelligence — finding free ports, identifying port hogs, and killing zombie processes without leaving the chat.

Enables AI coding agents to dynamically inspect running software — API hooks, syscall summaries, memory inspection, and HTTP/TLS/DNS reconstruction from live traffic or pcaps — across Linux, macOS, and Android targets. Every finding is returned as a structured Evidence Record with observation, artifacts, confidence, and explicit limitations, so agents cite proof rather than guess.

Enables AI agents to run shell and sudo commands on remote machines through profile-driven SSH sessions, with explicit target guards that prevent commands from hitting the wrong host. It offers bucketed inventory lookup, connectivity diagnostics, keepalive-based connection resilience, and credential-safe configuration management.

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 AI agents to control a locally running Bettbox (mihomo-based Clash client) without any client patches, switching proxy nodes, setting routing mode or TUN, testing latency, listing live connections, and adding, removing, or updating subscriptions. All capabilities ride on the client's existing surfaces: the mihomo REST API, its control socket, and its config/profile files.

Enables AI assistants and security analysts to inspect PCAP/PCAPNG captures through MCP tools or REST endpoints, reassembling TCP/UDP streams, extracting payload artifacts, detecting CTF flags, credential leaks and network anomalies, and generating formal PDF or Markdown forensic reports. Every finding is bound to exact frame numbers, timestamps and endpoints with SHA-256 deduplicated evidence provenance.

Enables fetching pending security-finding analyses with full event context and posting recommendations back to the UniFi SIEM dashboard.