volatility-mcp
by Gaffx
Volatility MCP integrates Volatility 3 with FastAPI and the Model Context Protocol (MCP) for memory forensics. It allows accessing Volatility plugins through REST APIs, connecting memory artifacts to AI assistants and web applications.
Last updated: N/A
What is volatility-mcp?
Volatility MCP is a server that combines the Volatility 3 memory analysis framework with a FastAPI backend and the Model Context Protocol (MCP). This allows users to perform memory forensics analysis through a REST API, enabling integration with AI assistants and other applications.
How to use volatility-mcp?
To use Volatility MCP, you need to install Python 3.7+, Volatility 3, and the required Python dependencies. After cloning the repository and installing dependencies, start the FastAPI server. Configure an MCP client like Claude Desktop to connect to the server by updating the claude_desktop_config.json file with the server address and memory image path. Then, you can use natural language prompts in the MCP client to perform memory analysis.
Key features of volatility-mcp
Volatility 3 Integration
FastAPI Backend
Web Front End Support (future feature)
Model Context Protocol (MCP)
Plugin Support (pslist, netscan, etc.)
Use cases of volatility-mcp
Analyzing memory images for malware
Investigating system compromises
Extracting process information
Analyzing network connections from memory
FAQ from volatility-mcp
What is Volatility 3?
What is Volatility 3?
Volatility 3 is an open-source memory forensics framework.
What is FastAPI?
What is FastAPI?
FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints.
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standardized communication protocol for interacting with AI models.
What Volatility plugins are supported?
What Volatility plugins are supported?
Currently, plugins like pslist and netscan are supported. More plugins will be added in the future.
How do I contribute to the project?
How do I contribute to the project?
Fork the repository, create a new branch, commit your changes, push to your branch, and open a pull request.