"Wireshark" matching MCP servers:

A Model Context Protocol server that enables AI assistants to perform network packet analysis, capture, and security operations on a remote machine via Wireshark/tshark.

Network capture and analysis via tshark, exposing 20 tools including composite workflows for reconnaissance, device identification, and security auditing, enabling AI assistants to perform deep packet inspection.

An MCP server that leverages Wireshark/Tshark for real-time and offline network traffic analysis, enabling AI assistants to capture, parse, and detect threats with automated scanning and threat intelligence.

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 AI assistants to capture and analyze network, PCAP, USB, and Bluetooth packet data through Scapy, tshark/Wireshark, and USBPcap, returning structured JSON for network debugging and hardware reverse engineering.

A professional-grade network analysis MCP server that integrates Wireshark/TShark, Nmap, and threat intelligence to enable packet capture, network scanning, threat detection, and credential extraction through natural language.

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.