Volatility 3 Memory Forensics

An MCP server that integrates the Volatility 3 memory forensics framework with MCP - compatible LLMs such as Claude, simplifying memory forensics analysis through natural language

Security Developer tools #Memory forensics #Natural - language analysis #Automation tool #Network security .Python

rating : 2.5 points

downloads : 33

update time : 2025-04-28

What is the Volatility MCP Server?

The Volatility MCP Server is a system integrating memory forensics tools. It allows users to perform complex memory analysis tasks through simple natural - language commands without the need to master professional knowledge.

How to use the Volatility MCP Server?

You can start using it in just a few steps, including installation, configuration, and initiating queries. This tool supports various analysis functions, such as viewing process trees, detecting network connections, and identifying malware.

Applicable scenarios

It is suitable for digital forensics investigators when they need to quickly analyze a large number of cases. Especially in densely populated countries like India, this tool can help speed up the case - handling process.

Main features

Natural - language memory forensicsAsk questions in everyday language, such as 'List all processes' or 'Find network connections', to complete complex operations.

Process analysisView running processes and their parent - child relationships, and detect hidden processes.

Network forensicsScan memory dump files to discover network connection information.

Malware detectionIdentify possible code injection and other malicious behaviors.

DLL analysisCheck loaded Dynamic Link Library (DLL) modules.

File object scanningSearch for file objects in memory.

Custom plugin executionRun any Volatility plugin and pass custom parameters.

Memory dump discoveryAutomatically find memory dump files in the specified directory.

Advantages and limitations

Advantages

Lower the technical threshold, enabling non - technical personnel to easily conduct memory forensics.

Significantly improve analysis efficiency and relieve the backlog of cases.

Support various advanced analysis functions to meet complex requirements.

Be easy to expand and add new features as needed.

Limitations

It depends on the Volatility 3 framework, so its correct installation needs to be ensured.

Some advanced functions may require additional computing resources.

There may be compatibility challenges in specific environments.

How to use

Clone the project repository

Use Git to clone this project to your local machine.

Install dependencies

Install the required Python packages.

Configure the Volatility path

Edit the script to point to your Volatility 3 installation location.

Configure Claude Desktop

Add server settings to the Claude Desktop configuration file.

Restart Claude Desktop

Restart the Claude Desktop application after saving the changes.

Usage examples

Case 1: Preliminary investigationConduct a preliminary analysis of the memory dump file at startup.

Case 2: In - depth investigationFurther check the DLL loading status of a suspicious process.

Case 3: Malware detectionRun the malfind plugin to detect potential threats.

Frequently Asked Questions

How to solve path errors?

Why doesn't it work properly?

How to add more functions?

Related resources

Official documentation

Official documentation for Volatility 3.

Claude Desktop official website

Product homepage of Claude Desktop.

GitHub project address

Source code repository for this project.

🚀 Volatility MCP Server

An MCP server integrating the Volatility 3 memory forensics framework with Claude and other MCP-compatible large language models (LLMs).

🚀 Quick Start

The Volatility MCP Server connects the powerful memory forensics capabilities of the Volatility 3 Framework with large language models (LLMs) via the Model Context Protocol (MCP). It enables users to analyze memory dumps using natural language, as Volatility plugins can be directly invoked by Claude or other MCP-compatible LLMs as MCP tools.

✨ Features

Natural Language Memory Forensics Analysis: Query Claude to analyze memory dumps.
Process Analysis: Examine running processes, parent-child relationships, and hidden processes.
Network Forensics: Identify network connections in memory dumps.
Malware Detection: Look for potential code injections or other suspicious activities.
File Handle Analysis: View files and resources opened by processes.

📚 Documentation

Why is this important?

In India, digital forensic investigators are facing a significant backlog of cases due to the country's large population and the increasing rate of cybercrime. This tool helps address this challenge in the following ways:

Allows investigators to analyze memory dumps using simple natural language instead of complex commands.
Reduces the technical expertise required to perform memory forensics analysis.
Accelerates the analysis process through automation.
Helps clear the case backlog and provides results to the judicial system more quickly.

By making memory forensics analysis more accessible, this tool can significantly relieve the burden on forensic experts and enhance the cyber security response capabilities within India.

Overview

This project connects the powerful memory forensics capabilities of the Volatility 3 Framework with large language models (LLMs) via the Model Context Protocol (MCP). It enables you to analyze memory dumps using natural language, as Volatility plugins can be directly invoked by Claude or other MCP-compatible LLMs as MCP tools.