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Volatility Mcp Server
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
❄️ 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 inplugin_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 theBasePlugin
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?
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Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.