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jus1-c

mem-forensics

by jus1-c

MCP Memory Forensics

Python 3.10+ License: MIT MCP

A high-performance MCP Server for Memory Forensics that enables AI agents to analyze memory dumps through the Model Context Protocol. Built with two-tier architecture combining Rust speed with Volatility3 coverage.

Credits

This project is based on the excellent work by xtk in mem-forensics-mcp. The Rust engine (memoxide) is a modified version of the original implementation.

Related MCP server: Memory Forensics MCP Server

Features

  • Two-Tier Architecture: Fast Rust engine (memoxide) + Volatility3 fallback for maximum coverage

  • Intelligent Caching: 200-entry cache with LRU eviction (survives until server restart)

  • Auto-Detection: Automatic OS profile detection and plugin name resolution

  • High Performance: Rust native plugins for common operations (3s vs 60s)

  • Full Coverage: Access to available Volatility3 plugins through the Volatility3 API

  • Smart Routing: Automatically selects fastest available engine

  • No Pre-analysis Required: Plugins auto-analyze image if needed

Performance Benchmarks

Tested on Windows crash dump (2GB, ~109 processes):

Operation

Rust (Memoxide)

Volatility3

Speedup

Analyze Image

3s

60s

20x faster

Process List (pslist)

1.5s

15s

10x faster

Network Scan (netscan)

2s

20s

10x faster

Requirements

  • Python 3.10+

  • Git CLI - used to clone/update the Volatility3 stable branch

  • Rust toolchain (optional, for building memoxide from source)

  • MCP-compatible client (Claude Desktop, VSCode, Cline, etc.)

Installation

1. Configure Volatility3 Source

Volatility3 is loaded from a managed git checkout, not from the pip volatility3 package.

Create .env in the project root:

cp .env.example .env

Default .env:

VOLATILITY3_REPO_URL=https://github.com/volatilityfoundation/volatility3
VOLATILITY3_BRANCH=stable
VOLATILITY3_REPO_PATH=.cache/volatility3
VOLATILITY3_AUTO_UPDATE=true
VOLATILITY3_UPDATE_INTERVAL_SECONDS=86400

2. Install MCP Server

From Source:

git clone https://github.com/jus1-c/mem-forensics-mcp-server.git
cd mem-forensics-mcp-server
pip install -e .

Configuration

Logs are written to mem-forensics-mcp.log in the project/install root, next to .env.

Claude Desktop

Edit claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mem-forensics": {
      "command": "python",
      "args": ["-m", "mem_forensics_mcp_server"]
    }
  }
}

VSCode (with Cline extension)

Add to your settings:

{
  "mcpServers": {
    "mem-forensics": {
      "command": "python",
      "args": ["-m", "mem_forensics_mcp_server"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Tools

1. memory_analyze_image

Initialize memory image analysis and detect OS profile.

Parameters:

  • image_path: Absolute path to memory dump (required)

  • dtb: Override DTB address (optional, hex string)

  • kernel_base: Override kernel base address (optional, hex string)

Example:

{
  "image_path": "/evidence/memory.raw",
  "dtb": "0x1ad000"
}

2. memory_run_plugin

Run a forensics plugin. Auto-routes to Rust (fast) or Vol3 (fallback).

Parameters:

  • image_path: Absolute path to memory dump (required)

  • plugin: Plugin name - can be short ("pslist") or full ("windows.pslist.PsList")

  • args: List of plugin arguments (optional, e.g., ["--pid", "1234"])

  • filter: Server-side filter string (optional)

Important Notes:

  • Use args parameter for all plugin arguments

  • Output is always JSON-rendered through the Volatility3 API

  • -r json is accepted but ignored for backward compatibility

  • Short plugin names are auto-resolved to full format

Examples:

// List all processes
{
  "image_path": "/evidence/memory.raw",
  "plugin": "pslist"
}

// Dlllist for specific PID
{
  "image_path": "/evidence/memory.raw",
  "plugin": "dlllist",
  "args": ["--pid", "3692"]
}

// Filescan with filter
{
  "image_path": "/evidence/memory.raw",
  "plugin": "filescan",
  "filter": "svchost"
}

// Using full plugin name
{
  "image_path": "/evidence/memory.raw",
  "plugin": "windows.netscan.NetScan"
}

3. memory_list_plugins

List all available plugins from both engines.

Parameters:

  • image_path: Memory dump path (for context)

Returns:

  • 9 Rust plugins (fast)

  • Vol3 plugins discovered from the managed stable checkout (Windows/Linux/Mac/Other)

4. memory_list_sessions

List all active analysis sessions.

Parameters: None

5. memory_get_status

Get server status and engine availability.

Parameters: None

6. memory_list_dumpable_files

List files found in memory using filescan plugin.

Parameters:

  • image_path: Absolute path to memory dump (required)

  • args: Optional args like ["--pid", "1234"]

7. memory_get_tool_help

Get detailed help and examples for any tool.

Parameters:

  • tool_name: Name of tool (e.g., "memory_run_plugin")

Usage Examples

Basic Analysis (Auto-detect)

Please analyze this memory dump and list all processes.
File: /evidence/windows.dmp

The server will:

  1. Auto-analyze the image

  2. Cache the results

  3. Return process list

Process Investigation with PID Filter

Get command line for process ID 1234 from this memory dump.
File: /evidence/malware.dmp
{
  "image_path": "/evidence/malware.dmp",
  "plugin": "cmdline",
  "args": ["--pid", "1234"]
}

Network Analysis

Find all network connections in this memory dump.
File: /evidence/c2.dmp

Code Injection Detection

Scan for injected code (malfind) in this memory dump.
File: /evidence/suspicious.dmp

List Files in Memory

List all files found in memory.
File: /evidence/windows.dmp

Caching System

The server includes an intelligent caching system:

  • Cache Size: 200 entries (configurable)

  • Cache Key: (image_path, plugin, args)

  • Persistence: Cache survives until server restart

  • Auto-Clear: Cache cleared when analyzing new image

  • LRU Eviction: Oldest entries removed when cache is full

Benefits:

  • Second query for same plugin returns instantly

  • No TTL - cache valid until server restart

  • Separate cache per memory dump file

Security Features

  • Path Validation: Only absolute paths allowed

  • Engine Isolation: Rust plugins run in separate subprocess

  • Timeout Protection: 60s timeout for Rust engine calls

  • Size Limits: Configurable response size limits

  • No Secrets: No logging of sensitive memory contents

.env Variables

Variable

Description

Default

VOLATILITY3_REPO_URL

Volatility3 git repository URL

https://github.com/volatilityfoundation/volatility3

VOLATILITY3_BRANCH

Volatility3 branch to use

stable

VOLATILITY3_REPO_PATH

Local checkout path, relative to project root if not absolute

.cache/volatility3

VOLATILITY3_AUTO_UPDATE

Auto-update checkout on startup when due

true

VOLATILITY3_UPDATE_INTERVAL_SECONDS

Auto-update interval

86400

Architecture

┌─────────────────┐     ┌──────────────────┐     ┌─────────────┐
│   MCP Client    │────▶│  MCP Server      │────▶│  Memoxide   │
│ (Claude/VSCode) │     │  (Python/FastMCP)│     │   (Rust)    │
└─────────────────┘     └──────────────────┘     └─────────────┘
                               │                           │
                               │                    ┌──────┴──────┐
                               │                    │ Memory Dump │
                               │                    └─────────────┘
                               ▼
                        ┌─────────────┐     ┌─────────────┐
                        │    Cache    │────▶│  Volatility3│
                        │ (200 entries)│     │ API Fallback│
                        └─────────────┘     └─────────────┘

Project Structure

mem-forensics-mcp-server/
├── mem_forensics_mcp_server/
│   ├── __init__.py
│   ├── __main__.py              # Entry point
│   ├── server.py                # MCP server with tools
│   ├── config.py                # Configuration
│   ├── core/
│   │   ├── session.py           # Session management
│   │   ├── cache.py             # Plugin result caching
│   │   ├── settings.py          # .env settings loader
│   │   ├── vol3_repo.py         # Managed Volatility3 git checkout
│   │   ├── vol3_api.py          # Vol3 API backend
│   │   └── vol3_cli.py          # Compatibility shim
│   ├── engine/
│   │   ├── memoxide_client.py   # Rust engine client
│   │   └── memoxide/            # Prebuilt binaries
│   │       ├── x86_64/
│   │       └── aarch64/
│   └── utils/
│       └── helpers.py
├── pyproject.toml
├── .env.example
├── README.md
└── .gitignore

Development

Setup Development Environment

pip install -e ".[dev]"

Building Rust Engine

cd mem_forensics_mcp_server/engine/memoxide-src
cargo build --release

Troubleshooting

Memoxide not available

Memoxide requires platform-specific binaries. Prebuilt binaries included for:

  • Windows x86_64

  • Linux x86_64

  • macOS x86_64 & aarch64

To build for other platforms:

cd mem_forensics_mcp_server/engine/memoxide-src
cargo build --release --target <target-triple>

Vol3 plugin requirements not met

Some memory dump formats may not be compatible with certain plugins. Error message will indicate:

  • Translation layer issues (unsupported format)

  • Symbol table issues (missing ISF files)

Timeout errors on large dumps

Rust engine has 60s timeout. For very large dumps, Vol3 fallback will be used automatically.

Plugin argument errors

This means the arguments passed do not match the plugin's Volatility3 requirements. Use memory_get_tool_help for MCP examples or call memory_list_plugins to verify the resolved plugin name.

Recent Updates

v0.1.19

  • Added Volatility3 API backend from managed git stable checkout

  • Added .env-only Volatility3 configuration and auto-update settings

  • ✨ Added intelligent caching system (200 entries)

  • ✨ Auto-plugin name resolution (pslist → windows.pslist.PsList)

  • ✨ Auto-analyze on first plugin call

  • ✨ Simplified args parameter (replaces pid/params)

  • 🔧 Removed memory_dump_process tool

  • 🔧 Improved error handling and logging

License

MIT License - see LICENSE file for details.

Acknowledgments

Support

For issues and feature requests, please use the GitHub issue tracker.

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