[Feature Request] MCP Server Integration for AI-Assisted Memory Forensics

[lxcxjxhx]

MCP Server Integration Proposal

Background

As AI-assisted digital forensics becomes increasingly important, integrating Volatility3 with the Model Context Protocol (MCP) would enable AI agents to leverage Volatility3's powerful memory forensics capabilities directly.

Proposed Implementation

Add a native MCP Server module to Volatility3 that exposes core functionality to AI agents:

Core Tools:

1. Memory Image Management - Load and analyze memory dumps from various sources (raw, vmem, vmss, etc.)
2. Process Analysis - List and examine processes in memory
3. Module Analysis - Enumerate loaded kernel modules and drivers
4. Network Analysis - Investigate network connections and sockets
5. Registry Analysis - Extract and analyze Windows registry hives
6. Malware Detection - Scan for rootkits and suspicious activity
7. YARA Scanning - Apply YARA rules to memory images

Implementation Details:

• New module: �olatility3/mcp/ with server.py, errors.py, main.py
• Uses astmcp library (same as angr's MCP implementation)
• Optional dependency: pip install volatility3[mcp]
• Entry point: python -m volatility3.mcp
• Supports stdio, SSE, and HTTP transports

Example Usage:
`python

AI agent can now:

1. Load a memory image

memory = await session.call_tool("load_memory_image", {"image_path": "./suspicious.dump"})

2. List processes

processes = await session.call_tool("list_processes", {"os_type": "windows"})

3. Scan for rootkits

findings = await session.call_tool("scan_for_rootkits", {"os_type": "windows"})

4. Apply YARA rules

matches = await session.call_tool("yara_scan", {"yara_rule": "rule test { condition: true }"})
`

Benefits

1. AI-Assisted Forensics - Enable AI agents to automate memory analysis and incident response
2. Malware Investigation - Streamline malware analysis workflows with AI-powered tool integration
3. Educational Value - Help newcomers learn memory forensics through AI-guided exploration
4. Industry Alignment - Follow the trend of MCP integration in security tools (angr already has MCP support)

Implementation Status

I've prepared a complete implementation with:

• 10 MCP tools covering memory image management, process analysis, module analysis, network analysis, registry analysis, malware detection, and YARA scanning
• Comprehensive test suite in ests/mcp/
• Full documentation in docs/mcp.md
• Optional dependency to avoid impacting core Volatility3 users

Questions for Maintainers

1. Is this feature aligned with Volatility3's roadmap?
2. Should the MCP server be a separate package or integrated into the main repository?
3. Any specific requirements or concerns about the implementation approach?

I'm happy to create a PR if this proposal is acceptable. The implementation is ready and tested.

Related Work

• angr has native MCP support: https://github.com/angr/angr/tree/master/angr/mcp
• MCP protocol: https://modelcontextprotocol.io/