MCP ExplorerExplorer

Volatility Mcp Server

@OMGhozlanon a month ago
1 MIT
FreeCommunity
AI Systems
#agentic-ai#fastmcp#mcp-server#mcp-tools#memory-forensics#python3#volatility#volatility-framework#volatility3
MCP (Model Context Protocol) interface for Volatility 3, providing memory forensics capabilities through LLM-based tools. Query, analyze, and automate Volatility 3 plugins using natural language via API or agent-based workflows

Overview

What is Volatility Mcp Server

Volatility-MCP-Server is a memory forensics automation toolkit that provides an interface for Volatility 3, enabling users to query, analyze, and automate memory analysis through LLM-based tools using natural language.

Use cases

Use cases include automating memory analysis for malware investigations, incident response scenarios, and educational purposes in cybersecurity training.

How to use

To use Volatility-MCP-Server, install Python 3.11+, then run the server and connect via API or agent-based workflows. Users can register and manage plugins for memory analysis across different platforms.

Key features

Key features include support for Windows, Linux, and macOS plugins, asynchronous plugin execution, JSON output format, built-in error handling, and a modular plugin architecture.

Where to use

Volatility-MCP-Server can be used in fields such as cybersecurity, digital forensics, incident response, and any domain requiring memory analysis of operating systems.

Content

❄️ Volatility MCP Server

Python
Volatility 3
Docker (Not) Ready
FastMCP


📌 Overview

The Volatility MCP Server is a powerful memory forensics automation toolkit powered by Volatility 3. It provides a modular, extensible interface for running Volatility plugins across Windows, Linux, and macOS memory dumps.

It makes memory analysis faster and more accessible via:

✅ Plugin automation
✅ Cross-platform support (Windows, Linux, macOS)
✅ Modular plugin architecture
✅ Rich logging with beautiful formatting
✅ Easy plugin registration and management


💡 Key Features

  • 🔍 Powered by Volatility 3
  • 🧠 Supports Windows, Linux, and macOS plugins
  • ⚙️ Asynchronous plugin execution
  • 📤 JSON output format
  • 📊 Built-in error handling and validation
  • 👨‍💻 FastMCP server interface
  • 🐳 Docker-ready environment

📦 Requirements

python 3.11+
pip install -r requirements.txt

requirements.txt:

fastmcp
rich
python-dotenv

📁 Project Structure

Volatility-MCP-Server/
├── volatility_mcp_server.py    # Main server implementation
├── plugins/                    # Plugin modules
│   ├── base_plugin.py         # Base plugin class
│   ├── plugin_factory.py      # Plugin registration
│   ├── windows/               # Windows plugins
│   ├── linux/                 # Linux plugins
│   ├── mac/                   # macOS plugins
│   └── common/                # Common plugins
├── requirements.txt           # Dependencies
└── README.md                 # This file

🖥️ Usage

🔧 Local Connection

Using stdio

Create a .cursor/mcp.json file with:

{
  "mcpServers": {
    "Volatility3": {
      "command": "fastmcp",
      "args": [
        "run",
        "path/to/volatility_mcp_server.py:mcp",
        "--transport",
        "stdio"
      ]
    }
  }
}

Using sse

Run the server using

fastmcp run volatility_mcp_server.py:mcp --transport sse

For Claude desktop

{
  "mcpServers": {
    "volatility3": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8000/sse"
      ]
    }
  }
}

For Cursor

{
  "mcpServers": {
    "Volatility3": {
      "url": "http://localhost:8000/sse"
    }
  }
}

📊 Available Plugins

Windows Plugins

  • Process: PsList, PsTree, PsScan
  • Memory: Malfind, MemMap
  • Network: NetScan
  • Registry: RegistryHiveList, RegistryPrintKey
  • System: SvcScan, CmdLine, DllList, Handles, FileScan
  • Disk: ADS, MFTScan, ResidentData

Linux Plugins

  • Process: PsList, PsTree, PsScan, PsAux, PsCallStack
  • System: Bash, Boottime, Capabilities
  • Network: IpAddr, IpLink, Netfilter
  • Memory: Malfind, ModuleExtract
  • File System: Files, InodePages, RecoverFs

macOS Plugins

  • Process: PsList, PsTree, Psaux
  • System: Bash, Dmesg, Lsmod
  • Network: Ifconfig, Netstat
  • Security: Check_syscall, Check_sysctl, Check_trap_table

Common Plugins

  • Framework: Banners, ConfigWriter, FrameworkInfo, IsfInfo, LayerWriter
  • Scan: RegExScan, YaraScan, Vmscan
  • Timeline: Timeliner

🐳 Docker Usage (No idea what I wanted to do here but might be useful in the future)

⚙️ 1. Build the Docker Image

From the root directory:

docker build -t volatility-mcp .

▶️ 2. Run the Server

docker run --rm -it \
  -v $(pwd)/memdumps:/memdumps \
  -v $(pwd)/output:/output \
  volatility-mcp

🔧 Developer/Contributor Guide

🧱 Setup Virtual Environment

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

🧪 Run Locally

python volatility_mcp_server.py

✍️ Customization Tips

  • 📀 Want to add a new plugin? Extend BasePlugin and register it in plugin_factory.py
  • 🧩 Want to add a new OS? Create a new plugin directory and implement the plugins
  • 📚 Want to add new features? The modular architecture makes it easy to extend

🙋 FAQ

🟠 Does this support Volatility 2.x?
🔻 No. This server supports Volatility 3 only for modern plugin support.

🔵 Can I add custom plugins?
✅ Yes! Just extend the BasePlugin class and register it in the factory.

🔴 Why use FastMCP?
It provides a clean, efficient interface for running Volatility plugins with proper error handling and async support.


📜 License

MIT ©️ 2025


🌐 More Tools?

You may also like:

Tools

No tools

Comments

Recommend MCP Servers

View All MCP Servers