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Wireshark-MCP Integration Toolkit

@shubham-s-pandey

关于 Wireshark-MCP Integration Toolkit

Wireshark Packet Analyzer with MCP Integration This project integrates the MCP (Message Communication Protocol) server with Wireshark to analyze and interact with network packets. The tool enables packet capture, analysis, and management using MCP while leveraging Wireshark's Lu

基本信息

分类

开发工具

许可证

GPL-3.0

运行时

python

传输方式

stdio

发布者

shubham-s-pandey

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Wireshark-MCP Integration Toolkit?

A toolkit that integrates Wireshark with the Machine Control Protocol (MCP) to enable natural language interaction with network traffic analysis through Claude Desktop. It consists of a Python MCP server and a Lua Wireshark extension, targeting analysts who want to query and inspect packets conversationally.

How to use Wireshark-MCP Integration Toolkit?

Install both the Python MCP server and the Lua Wireshark extension. The Python server provides a CLI interface for packet analysis, while the Lua extension runs inside Wireshark for real-time dissection. No specific commands or configuration keys are documented in the README.

Key features of Wireshark-MCP Integration Toolkit

  • Natural language network analysis via Claude Desktop
  • Python MCP server with CLI interface
  • Smart buffering and file management for packets
  • Network interface discovery system
  • Lua extension for real-time packet dissection
  • Custom protocol field definitions and automated interface listing

Use cases of Wireshark-MCP Integration Toolkit

  • Querying live packet captures using natural language
  • Automating network traffic analysis through Claude Desktop
  • Real-time dissection of custom protocol fields in Wireshark
  • Listing available network interfaces remotely

FAQ from Wireshark-MCP Integration Toolkit

What does the integration allow?

It allows users to interact with Wireshark packet analysis using natural language through Claude Desktop, bridging the MCP protocol between the two tools.

What are the main components?

The toolkit includes a Python MCP server (which manages the communication bridge) and a Lua Wireshark extension (which provides real-time packet dissection and logging).

Does it require any runtime dependencies?

The README indicates compatibility with Python and Lua, but does not list specific versions or additional dependencies.

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