一款模型上下文协议（MCP）服务器，将Volatility 3内存取证框架与Claude及其他兼容MCP的LLM集成。

为什么这很重要

在印度，由于人口众多和网络犯罪率上升，数字取证调查员面临大量案件积压。该工具通过以下方式帮助应对这一挑战：

• 允许调查人员使用简单的自然语言分析内存转储，而非复杂的命令
• 减少执行记忆取证所需的技术专长
• 通过自动化加快分析流程
• 帮助清理案件积压，加快司法系统的处理结果

通过使记忆取证更易获得，该工具能够显著减轻取证专家的负担，提升印度范围内的网络安全响应能力。

概述

该项目通过模型上下文协议（MCP）桥接Volatility 3框架强大的内存取证能力与大型语言模型（LLM）。它允许你通过将Volatility插件作为MCP工具，直接被Claude或其他兼容MCP的LLM调用，从而使用自然语言进行内存取证分析。

特色

Volatility MCP Server

A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude and other MCP-compatible LLMs.

Why This Matters

In India, digital forensic investigators face a massive backlog of cases due to the country’s large population and rising cybercrime rates. This tool helps address this challenge by:

• Allowing investigators to analyze memory dumps using simple natural language instead of complex commands
• Reducing the technical expertise needed to perform memory forensics
• Accelerating the analysis process through automation
• Helping clear case backlogs and deliver faster results to the judicial system

By making memory forensics more accessible, this tool can significantly reduce the burden on forensic experts and improve cybersecurity response across India.

Overview

This project bridges the powerful memory forensics capabilities of the Volatility 3 Framework with Large Language Models (LLMs) through the Model Context Protocol (MCP). It allows you to perform memory forensics analysis using natural language by exposing Volatility plugins as MCP tools that can be invoked directly by Claude or other MCP-compatible LLMs.

Features

• Natural Language Memory Forensics: Ask Claude to analyze memory dumps using natural language
• Process Analysis: Examine running processes, parent-child relationships, and hidden processes
• Network Forensics: Identify network connections in memory dumps
• Malware Detection: Find potential code injection and other malicious artifacts
• DLL Analysis: Examine loaded DLLs and modules
• File Objects: Scan for file objects in memory
• Custom Plugins: Run any Volatility plugin with custom arguments
• Memory Dump Discovery: Automatically find memory dumps in a directory

Requirements

• Python 3.10 or higher
• Volatility 3 Framework
• Claude Desktop or other MCP-compatible client
• MCP Python SDK (mcp package)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/volatility-mcp-server.git
   

2. Install the required Python packages:

   pip install mcp httpx
   

3. Configure the Volatility path in the script:

   • Open volatility_mcp_server.py and update the VOLATILITY_DIR variable to point to your Volatility 3 installation path.

4. Configure Claude Desktop:

   • Open your Claude Desktop configuration file located at:
     • Windows: %APPDATA%\Claude\claude_desktop_config.json
     • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Add the server configuration:

   {
     "mcpServers": {
       "volatility": {
         "command": "python",
         "args": [
           "/path/to/volatility_mcp_server.py"
         ],
         "env": {
           "PYTHONPATH": "/path/to/volatility3"
         }
       }
     }
   }
   

   • Replace /path/to/ with the actual path to your files.