Wireshark MCP
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- AlicenseBqualityBmaintenanceEnables local LLM clients to capture and analyze network traffic using Wireshark's CLI tools, providing packet summaries, protocol hierarchies, conversations, endpoints, expert info, and stream reassembly without shell access.12MIT
- AlicenseCqualityDmaintenanceEnables LLMs to perform automated network forensics, threat hunting, and traffic analysis using Wireshark/TShark.344MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with tshark and related command-line tools for live packet capture, PCAP analysis, filtering, stream following, and capture file merging.1MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to analyze, filter, and capture network traffic using Wireshark/tshark, allowing natural language interaction with packet captures.1473 PyPI61MIT
- AlicenseAqualityAmaintenanceEnables 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.12MIT
- AlicenseAqualityBmaintenanceEnables LLM-based assistants to diagnose network problems from PCAP/PCAPNG packet captures, offering tools for capture summaries, TCP conversation analysis, security anomaly detection, and JSON-RPC extraction without requiring Wireshark.5MIT
TDQS
Scored across 76 tools
Tools are grouped with clear prefixes (capture_, stats_, llm_, etc.), and within each group, actions are distinct. Some overlap exists between llm summary tools and stats tools, but descriptions differentiate them sufficiently.
All tools use consistent snake_case naming with informative prefixes, making the function clear. The pattern is uniform across all 76 tools.
76 tools is excessive for most use cases, even considering the breadth of Wireshark. The sheer number can overwhelm LLM context windows and cause selection errors, scoring poorly against the calibration where 25+ is considered too many.
The tool set covers nearly every aspect of capture management, file operations, packet analysis, statistics, transformations, and LLM-oriented summaries. It includes advanced features like sharkd sessions and heuristic dissection, leaving few obvious gaps.