Volatility MCP is an MCP server that connects the Volatility 3 memory forensics framework with AI assistants through the Model Context Protocol and a FastAPI backend. Digital forensics professionals, incident response teams, and security analysts use this server to inspect operating system memory dumps using conversational prompts instead of manual command-line syntax. By bridging Volatility plugins directly to MCP-compliant clients such as Claude Desktop, the server exposes critical memory artifacts via structured API endpoints. Analysts can query memory images to inspect active and terminated processes, build parent-child process relationship trees, and analyze network sockets including RFC 1918 or external connections. The system operates via a local Python server that interacts with the Volatility 3 binary to run plugins like pslist and netscan, returning output directly to the language model. This environment enables security practitioners to accelerate triage during digital forensic investigations, isolate suspicious runtime artifacts, and conduct root-cause analysis inside an AI chat workspace.
Category: Finance, Crypto & Payments
Tags: finance, market data, trading, volatility
git clone https://github.com/Gaffx/volatility-mcp cd volatility-mcp 3. Install the required Python dependencies: pip install -r requirements.txt 4. Start the FastAPI backend server: uvicorn volatility_fastapi_server:app 5. Open your Claude Desktop configuration file (claude_desktop_config.json) and register the server under the mcpServers object: json { "mcpServers": { "vol": { "command": "python", "args": [ "/ABSOLUTE_PATH_TO_MCP-SERVER/vol_mcp_server.py", "-i", "/ABSOLUTE_PATH_TO_MEMORY_IMAGE/<memory_image>" ] } } } 6. Replace the placeholder paths with your actual server script location and target memory image path, then restart Claude Desktop.Part of MCP Servers
Volatility MCP exposes Volatility 3 memory forensics plugins to AI assistants. It enables users to interrogate raw operating system memory images through natural language prompts. Key capabilities include listing running processes with pslist, mapping parent-child process tree relationships, and inspecting active or past network connections with netscan to aid incident response.
Volatility MCP is designed to integrate with Model Context Protocol clients such as Claude Desktop. It communicates through a local stdio script bridging to a FastAPI server, allowing desktop AI assistants to execute forensics plugins and parse memory artifacts directly in conversation sessions.
You need Python 3.7 or higher installed along with the Volatility 3 binary. The system environment must include an environment variable named VOLATILITY_BIN pointing to the Volatility executable. You also need target memory dump files and an MCP client like Claude Desktop configured with the repository script.
Yes, Volatility MCP is open source software distributed under the Apache 2.0 license. The source code, installation scripts, and documentation are publicly available on GitHub, allowing incident response teams and security researchers to inspect, customize, and extend the tool freely.
The architecture pairs an MCP Python script with a FastAPI backend server. When a user requests forensic data via Claude Desktop, the MCP client passes instructions to the FastAPI service, which triggers Volatility 3 to process the specified memory image file and returns structured results to the AI assistant.