Volatility3
About
Perform advanced memory forensics analysis using Volatility3 via a conversational interface. Requires user-specified memory dump files.
Details
- Author
- kirandawadi
- Repository
- Kirandawadi/volatility3-mcp
- GitHub stars
- 2
- Downloads
- 184
- Categories
- Developer Tools, Security, Infrastructure, Productivity, Design, AI, Project Management, Other
- Tags
- #integration
Jump to
- Memory Dump Analysis: Analyze Windows and Linux memory dumps using various plugins
- Process Inspection: List running processes, examine their details, and identify suspicious activity
- Network Analysis: Examine network connections to detect command and control servers
- Cross-Platform Support: Works with both Windows and Linux memory dumps (macOS support coming soon)
- Malware Detection: Scan memory with YARA rules to identify known malware signatures
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
Volatility3Command (node, npx, python, etc.)absolute/path/to/virtual/environment/bin/python3Arguments-
Argument 1
absolute/path/to/bridge_mcp_volatility.py
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Clone this repository:
2. Create a virtual environment:
python -m venv environ
source environ/bin/activate
3. Install the required dependencies:
pip install -r requirements.txt
You can use this project in two ways:
initialize_memory_file
Set up a memory dump file for analysis.
detect_os
Identify the operating system of the memory dump.
list_plugins
Display all available Volatility3 plugins.
get_plugin_info
Get detailed information about a specific plugin.
run_plugin
Execute any Volatility3 plugin with custom arguments.
get_processes
List all running processes in the memory dump.
get_network_connections
View all network connections from the system.
list_process_open_handles
Examine files and resources accessed by a process.
scan_with_yara
Scan memory for malicious patterns using YARA rules.
- initialize_memory_file: Set up a memory dump file for analysis
- detect_os: Identify the operating system of the memory dump
- list_plugins: Display all available Volatility3 plugins
- get_plugin_info: Get detailed information about a specific plugin
- run_plugin: Execute any Volatility3 plugin with custom arguments
- get_processes: List all running processes in the memory dump
- get_network_connections: View all network connections from the system
- list_process_open_handles: Examine files and resources accessed by a process
- scan_with_yara: Scan memory for malicious patterns using YARA rules
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"volatility3": {
"cwd": null,
"env": {},
"args": [
"absolute/path/to/bridge_mcp_volatility.py"
],
"shell": false,
"command": "absolute/path/to/virtual/environment/bin/python3"
}
}
}
Linux
{
"cwd": null,
"env": [],
"args": [
"absolute/path/to/bridge_mcp_volatility.py"
],
"shell": false,
"command": "absolute/path/to/virtual/environment/bin/python3"
}
Macos
{
"cwd": null,
"env": [],
"args": [
"absolute/path/to/bridge_mcp_volatility.py"
],
"shell": false,
"command": "absolute/path/to/virtual/environment/bin/python3"
}
Windows
{
"cwd": null,
"env": [],
"args": [
"absolute/path/to/bridge_mcp_volatility.py"
],
"shell": false,
"command": "absolute/path/to/virtual/environment/bin/python3"
}
Volatility3 MCP Server is a powerful tool that connects MCP clients like Claude Desktop with Volatility3, the advanced memory forensics framework. This integration allows LLMs to analyze memory dumps, detect malware, and perform sophisticated memory forensics tasks through a simple, conversational interface.
You can also find adetailed presentationon this tool here.
Memory forensics is a complex field that typically requires specialized knowledge and command-line expertise. This project bridges that gap by:
- Allowing non-experts to perform memory forensics through natural language
- Enabling LLMs to directly analyze memory dumps and provide insights
- Automating common forensic workflows that would normally require multiple manual steps
- Making memory forensics more accessible and user-friendly
- Memory Dump Analysis: Analyze Windows and Linux memory dumps using various plugins
- Process Inspection: List running processes, examine their details, and identify suspicious activity
- Network Analysis: Examine network connections to detect command and control servers
- Cross-Platform Support: Works with both Windows and Linux memory dumps (macOS support coming soon)
- Malware Detection: Scan memory withYARA rulesto identify known malware signatures
- Clone this repository:
- Create a virtual environment:
python -m venv environ source environ/bin/activate
- Configure Claude Desktop:
- Go toClaude->Settings->Developer->Edit Config->claude_desktop_config.jsonand add the following
{ "mcpServers": { "volatility3": { "command": "absolute/path/to/virtual/environment/bin/python3", "args": [ "absolute/path/to/bridge_mcp_volatility.py" ] } } }
- Start the SSE server:
python3 start_sse_server.py
- Open Cursor settings
- Navigate toFeatures->MCP Servers
- Add a new MCP server with the URLhttp://127.0.0.1:8080/sse
- initialize_memory_file: Set up a memory dump file for analysis
- detect_os: Identify the operating system of the memory dump
- list_plugins: Display all available Volatility3 plugins
- get_plugin_info: Get detailed information about a specific plugin
- run_plugin: Execute any Volatility3 plugin with custom arguments
- get_processes: List all running processes in the memory dump
- get_network_connections: View all network connections from the system
- list_process_open_handles: Examine files and resources accessed by a process
- scan_with_yara: Scan memory for malicious patterns using YARA rules
Contributions are welcome! Please feel free to submit a Pull Request.
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