Volatility MCP Server

Name: Volatility MCP Server
Author: bornpresident

@bornpresident

Repository

About Volatility MCP Server

A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude

#volatility #memory-forensics #mcp-server

Basic information

Config

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

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

Tools

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Overview

What is Volatility MCP Server?

A Model Context Protocol (MCP) server that integrates the Volatility 3 memory forensics framework with Claude and other MCP-compatible LLMs. It enables forensic investigators to analyze memory dumps using natural language instead of complex commands, reducing technical barriers and accelerating analysis.

How to use Volatility MCP Server?

Clone the repository, install mcp and httpx packages, set the VOLATILITY_DIR variable in the script, and add the server to Claude Desktop’s configuration (claude_desktop_config.json). After restarting Claude, simply ask natural language questions about your memory dumps (e.g., “List all processes in the memory dump at path”).

Key features of Volatility MCP Server

Natural language memory forensics via LLMs
Process analysis and hierarchy visualization
Network connection examination in memory dumps
Malware detection (code injection, hidden processes)
DLL and module analysis per process
File object scanning across memory
Custom Volatility plugin execution
Automatic discovery of memory dump files in a directory

Use cases of Volatility MCP Server

Initial triage: quickly inspect process trees and network connections
Suspicious process investigation: examine command‑line arguments, DLLs, and open handles
Malware hunting: run malfind, detect hidden processes, and analyze parent‑child anomalies
Reducing digital forensics backlogs by automating analysis for Indian investigators