Your AI Assistant in Memory Forensics

Name: Your AI Assistant in Memory Forensics
Author: Gaffx

@Gaffx

Repository

About Your AI Assistant in Memory Forensics

This repo hosts an MCP server for volatility3.x

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "vol": {
      "command": "python",
      "args": [
        "/ABSOLUTE_PATH_TO_MCP-SERVER/vol_mcp_server.py",
        "-i",
        "/ABSOLUTE_PATH_TO_MEMORY_IMAGE/<memory_image>"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Your AI Assistant in Memory Forensics?

Volatility MCP seamlessly integrates Volatility 3's memory forensics with FastAPI and the Model Context Protocol (MCP). It allows users to analyze memory images through natural language prompts in MCP clients like Claude Desktop, making plugins such as pslist and netscan accessible via clean REST APIs.

How to use Your AI Assistant in Memory Forensics?

Start the FastAPI server with uvicorn volatility_fastapi_server:app, then configure an MCP client (e.g., Claude Desktop) by editing its config file to point to the vol_mcp_server.py script and a memory image using the -i argument. After setup, ask questions about the memory image in natural language, such as listing processes or network connections.

Key features of Your AI Assistant in Memory Forensics

Integrates Volatility 3 for memory image analysis.
Provides RESTful APIs via FastAPI backend.
Supports MCP for standardized AI client communication.
Offers plugins including pslist and netscan.
Enables natural language interaction with memory data.

Use cases of Your AI Assistant in Memory Forensics

Forensic analysts querying process lists from memory dumps.
Security investigators examining network connections for suspicious activity.
Automating memory forensics tasks through AI-powered chat interfaces.
Integrating memory artifact data into web applications and dashboards.

FAQ from Your AI Assistant in Memory Forensics

What dependencies are required to run the server?

Python 3.7+ and a Volatility 3 binary installed with its path set in the VOLATILITY_BIN environment variable. All Python dependencies are in requirements.txt.

How is the memory image file specified?

The memory image path is provided as a command-line argument (-i) in the MCP client configuration (e.g., in claude_desktop_config.json).

What transport protocol does the server use?

The FastAPI server communicates via HTTP/REST. MCP clients use this API to send requests and receive results for Volatility plugins.

Are there any known limitations in the current version?

Currently the server invokes Volatility 3 as a subprocess. Future versions plan to use the Volatility Python SDK natively for improved performance and reliability.

Does the server support authentication or multi-user access?

The README does not mention authentication. It is designed for local use, with the MCP client typically running on the same machine.

Comments

More AI & Agents MCP servers

LinkedIn MCP Server

stickerdaniel

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

2.7K

Solon Ai

opensolon

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

416