Enables AI assistants to analyze, filter, and capture network traffic using Wireshark/tshark, allowing natural language interaction with packet captures.
Enables AI assistants to analyze network traffic using Wireshark/tshark, providing packet statistics, protocol analysis, and anomaly detection through natural language interaction.
An MCP server that enables LLMs to analyze pcap files by providing tools for packet dissection, stream following, and data extraction via tshark. It supports protocol hierarchy analysis, credential scanning, and threat intelligence checks on captured network traffic.
Bridges AI assistants and network packet analysis by exposing Wireshark/TShark functionality through MCP, enabling PCAP investigation, protocol discovery, packet filtering, stream analysis, and live capture.
Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling AI-powered network troubleshooting, packet analysis, and network monitoring through a secure interface.
Provides AI assistants with direct access to Wireshark network analysis capabilities, enabling live packet capture, PCAP file analysis, protocol statistics, and network monitoring through a secure MCP interface.
Bridges AI assistants with network packet analysis, enabling PCAP investigation, protocol discovery, packet filtering, stream analysis, and live capture through natural language.
A containerized server that enables AI clients to perform automated network packet analysis, protocol inspection, and traffic forensics using Wireshark/tshark. It features a stateless design that synchronizes PCAP files directly from GitHub for secure and ephemeral analysis sessions.
Wireshark MCP server for Windows that enables AI agents to capture live packets, analyze pcap files, apply display filters, reassemble TCP/UDP streams, generate statistics, and export packets or protocol objects.
The Wireshark for the Model Context Protocol (Reticle) intercepts, visualises, and profiles MCP JSON-RPC traffic in real time — designed for microsecond-level overhead.