Official description10 sourcesMCP servers8d ago
Gaffx/volatility-mcp
Memory forensics with Volatility 3, exposing plugins such as pslist and netscan through REST APIs
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Config template (adjust for your client)
claude mcp add volatility-mcp -- npx -y volatility-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 52 ★ · Gaffx/volatility-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 10 sources
- Score
- score 1,003 · 52 ★ · 10 sources · mcp
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How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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repository
Gaffx/volatility-mcp；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
Your AI Assistant in Memory Forensics
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Overview
Volatility MCP seamlessly integrates Volatility 3's powerful memory analysis with FastAPI and the Model Context Protocol (MCP). Experience memory forensics without barriers as plugins like pslist and netscan become accessible through clean REST APIs, connecting memory artifacts directly to AI assistants and web applications
Features
* **Volatility 3 Integration:** Leverages the Volatility 3 framework for memory image analysis.
* **FastAPI Backend:** Provides RESTful APIs to interact with Volatility plugins.
* **Web Front End Support (future feature):** Designed to connect with a web-based front end for interactive analysis.
* **Model Context Protocol (MCP):** Enables standardized communication with MCP clients like Claude Desktop.
* **Plugin Support:** Supports various Volatility plugins, including pslist for process listing and netscan for network connection analysis.
Architecture
The project architecture consists of the following components:
* **MCP Client:** MCP client like Claude Desktop that interacts with the FastAPI backend.
* **FastAPI Server:** A Python-based server that exposes Volatility plugins as API endpoints.
* **Volatility 3:** The memory forensics framework performing the analysis.
This architecture allows users to analyze memory images through MCP clients like Claude Desktop. Users can use natural language prompts to perform memory forensics analysis such as
show me the list of the processes in memory image x, or show me all the external connections made
Getting Started
Prerequisites
* Python 3.7+ installed on your system
* Volatility 3 binary installed (see Volatility 3 Installation Guide) and added to your env path called **VOLATILITY_BIN**
Installation
1. Clone the repository:
2. Install the required Python dependencies:
3. Start the FastAPI server to expose Volatility 3 APIs:
4. Install Claude Desktop (see Claude Desktop
5. To configure Claude Desktop as a volatility MCP client, navigate to Claude → Settings → Developer → Edit Config, locate the claude_desktop_config.json file, and insert the following configuration details
6. Please note that the -i option in the config.json file specifies the directory path of your memory image file.
Alternatively, update this file directly:
/Users/YOUR_USER/Library/Application Support/Claude/claude_desktop_config.json
Usage
1. Start the FastAPI server as described above.
2. Connect an MCP client (e.g., Claude Desktop) to the FastAPI server.
3. Start the prompt by asking questions regarding the memory image in scope, such as showing me the running processes, creating a tree relationship graph for process x, or showing me all external RFC1918 connections.
Future Features and Enhancements
* **Native Volatility Python Integration:** Incorporate Volatility Python SDK directly in the code base as opposed to subprocess volatility binary
Volatility MCP seamlessly integrates Volatility 3's powerful memory analysis with FastAPI and the Model Context Protocol (MCP). Experience memory forensics without barriers as plugins like pslist and netscan become accessible through clean REST APIs, connecting memory artifacts directly to AI assistants and web applications
Features
* **Volatility 3 Integration:** Leverages the Volatility 3 framework for memory image analysis.
* **FastAPI Backend:** Provides RESTful APIs to interact with Volatility plugins.
* **Web Front End Support (future feature):** Designed to connect with a web-based front end for interactive analysis.
* **Model Context Protocol (MCP):** Enables standardized communication with MCP clients like Claude Desktop.
* **Plugin Support:** Supports various Volatility plugins, including pslist for process listing and netscan for network connection analysis.
Architecture
The project architecture consists of the following components:
* **MCP Client:** MCP client like Claude Desktop that interacts with the FastAPI backend.
* **FastAPI Server:** A Python-based server that exposes Volatility plugins as API endpoints.
* **Volatility 3:** The memory forensics framework performing the analysis.
This architecture allows users to analyze memory images through MCP clients like Claude Desktop. Users can use natural language prompts to perform memory forensics analysis such as
show me the list of the processes in memory image x, or show me all the external connections made
Getting Started
Prerequisites
* Python 3.7+ installed on your system
* Volatility 3 binary installed (see Volatility 3 Installation Guide) and added to your env path called **VOLATILITY_BIN**
Installation
1. Clone the repository:
2. Install the required Python dependencies:
3. Start the FastAPI server to expose Volatility 3 APIs:
4. Install Claude Desktop (see Claude Desktop
5. To configure Claude Desktop as a volatility MCP client, navigate to Claude → Settings → Developer → Edit Config, locate the claude_desktop_config.json file, and insert the following configuration details
6. Please note that the -i option in the config.json file specifies the directory path of your memory image file.
Alternatively, update this file directly:
/Users/YOUR_USER/Library/Application Support/Claude/claude_desktop_config.json
Usage
1. Start the FastAPI server as described above.
2. Connect an MCP client (e.g., Claude Desktop) to the FastAPI server.
3. Start the prompt by asking questions regarding the memory image in scope, such as showing me the running processes, creating a tree relationship graph for process x, or showing me all external RFC1918 connections.
Future Features and Enhancements
* **Native Volatility Python Integration:** Incorporate Volatility Python SDK directly in the code base as opposed to subprocess volatility binary
- Source
- awesome · https://github.com/Gaffx/volatility-mcp
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