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Volatility3 MCP Server for automating Memory Forensics
Configuration
View docs{
"mcpServers": {
"kirandawadi-volatility3-mcp": {
"url": "http://127.0.0.1:8080/sse"
}
}
}Volatility3 MCP Server connects MCP clients to Volatility3, enabling memory forensics tasks like memory dump analysis, process inspection, and malware detection through natural language conversations. It streamlines complex investigations by letting LLMs drive Volatility3 workflows via MCP interfaces.
You interact with the Volatility3 MCP Server through an MCP client to analyze memory dumps and run Volatility3 plugins. Start the MCP server locally, then configure your MCP client to connect using the provided endpoints. Use natural language prompts to request analyses such as listing processes, examining network connections, or running specific Volatility3 plugins. The server exposes a set of tools that you can invoke in your conversations to automate forensic workflows.
Typical usage patterns include: asking for the operating system detected from a memory dump, listing all running processes, inspecting a process’s open handles, scanning memory with YARA rules for malware signatures, and running a chosen Volatility3 plugin with customized arguments. You can combine steps into a single session to build a remediation or investigation report.
Prerequisites you need before installation are Python and a working virtual environment. Ensure Python 3 is installed on your system.
Clone this repository and set up a virtual environment:
git clone <repo-url>
python -m venv environ
source environ/bin/activateInstall the required dependencies from the project requirements file:
pip install -r requirements.txtYou can run the MCP server in two ways. Choose the method that fits your workflow.
Option 1: With Claude Desktop. Create a Claude Desktop configuration that points to the local Python interpreter inside your virtual environment and pass the bridge script as an argument.
{
"mcpServers": {
"volatility3": {
"command": "absolute/path/to/virtual/environment/bin/python3",
"args": [
"absolute/path/to/bridge_mcp_volatility.py"
]
}
}
}Option 2: Use the SSE server with Cursor. Start the SSE server locally and configure Cursor to connect to it.
Start the SSE server:
python3 start_sse_server.pyConfigure Cursor to connect to the SSE endpoint at the following URL.
URL to use in Cursor: http://127.0.0.1:8080/sse
Set up a memory dump file for analysis.
Identify the operating system of the memory dump.
Display all available Volatility3 plugins.
Get detailed information about a specific plugin.
Execute any Volatility3 plugin with custom arguments.
List all running processes in the memory dump.
View all network connections from the system.
Examine files and resources accessed by a process.
Scan memory for malicious patterns using YARA rules.