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0xKodaReal-time network traffic analysis for LLMs
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Summary
WireMCP is a Model Context Protocol (MCP) server designed to integrate real-time network traffic analysis with Large Language Models (LLMs). It empowers LLMs with the ability to understand and act upon live network data, facilitating advanced applications in threat hunting, network diagnostics, and anomaly detection by converting raw packet information into structured, LLM-consumable formats.
How It Works
This project utilizes Wireshark's command-line tool, tshark, to capture and process network packets. WireMCP exposes a suite of tools—including live capture, statistical analysis, conversation tracking, and threat intelligence lookups—via an MCP interface. By converting complex network data into structured JSON outputs, it enables LLMs to parse, reason about, and derive actionable insights from network activity, bridging the gap between low-level data and high-level comprehension.
Quick Start & Requirements
npm install to install Node.js dependencies, and start the server using node index.js.tshark installed and accessible in the system's PATH), Node.js (v16+ recommended), and npm.tshark is correctly configured in your PATH; WireMCP attempts auto-detection if it's not found.Highlighted Details
capture_packets) and analyzing PCAP files (analyze_pcap), outputting data as JSON.get_summary_stats) and conversation summaries (get_conversations).check_threats, check_ip_threats).extract_credentials).Maintenance & Community
Contributions are welcomed via pull requests, with a process for discussing significant changes by opening an issue first. The project acknowledges the Wireshark/tshark team, the MCP community, and URLhaus for their contributions. Specific community channels or active maintainer details beyond the repository owner are not detailed.
Licensing & Compatibility
The project is released under the MIT License. This permissive license allows for commercial use, modification, and distribution, provided the original copyright and license notice are included.
Limitations & Caveats
Currently, the threat intelligence capabilities are limited to the URLhaus blacklist, although future expansion to include additional IOC providers is planned. The effectiveness of threat detection is contingent on the scope and accuracy of the integrated threat intelligence feeds.
3 months ago
Inactive
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