Volatility MCP Server

Volatility MCP Server

Enables automated memory forensics analysis using Volatility 3, supporting Windows, Linux, and macOS memory dumps through a modular plugin interface.

Category
访问服务器

README

❄️ 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:

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选