Volatility3 Mcp Server
About
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
Details
- Author
- OMGhozlan
- GitHub stars
- 1
- Downloads
- 254
- Categories
- Other
Jump to
- Powered by Volatility 3 for modern plugin support
- Cross‑platform analysis (Windows, Linux, macOS)
- Asynchronous plugin execution with JSON output
- Built‑in error handling and validation
- FastMCP server interface for clean integration
- Docker‑ready environment for containerized deployment
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Volatility3 Mcp ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install Python 3.11+, install dependencies (fastmcp, rich, python-dotenv), and run the server using FastMCP. Connect via stdio (by configuring a mcp.json file) or SSE (by starting the server with fastmcp run ... --transport sse and pointing a client to http://localhost:8000/sse). A Docker‑ready image can also be built and run with volume mounts for memory dumps and output.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"volatility3 mcp server": {
"volatility3": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8000/sse"
]
}
}
}
}
McpServers
{
"volatility3": {
"command": "npx",
"args": [
"mcp-remote",
"http://localhost:8000/sse"
]
}
}
❄️ Volatility MCP Server
---
📌 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:
- Volatility Foundation
- FastMCP Documentation
- Python-dotenv
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.



