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MCP server · AI

Mem Forensics MCP

Unified Memory Forensics MCP Server - Multi-tier engine combining Rust speed with Vol3 coverage.

56Fair

Scored 3 months ago · breakdown

About Mem Forensics MCP

Mem Forensics MCP is an MCP server published by x746b in the AI category: unified Memory Forensics MCP Server - Multi-tier engine combining Rust speed with Vol3 coverage. It has been installed 0 times through Conduid.

The repository has 1 stars and 0 forks, with the last commit 6 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mem-forensics-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

mem-forensics-mcp

Unified Memory Forensics MCP Server - Multi-tier engine combining Rust speed with Vol3 coverage.


Architecture

Three-tier engine automatically routes each tool to the fastest backend:

LLM <-> [mem-forensics-mcp (Python)] <-> memoxide (Rust child, stdio MCP)
                                     <-> Volatility3 (Python library)
Tier Engine Speed Coverage
Tier 1 Rust (memoxide) Fast pslist, psscan, cmdline, dlllist, malfind, netscan, cmdscan, search, readraw, rsds
Tier 2 Python analyzers Medium Process anomalies, C2 detection, credentials, YARA, VT integration
Tier 3 Volatility3 Slower Any vol3 plugin (filescan, handles, svcscan, driverscan, ...)

Installation

Prerequisites

# Install uv (fast Python package manager)
curl -LsSf https://astral.sh/uv/install.sh | sh

# Ensure Python 3.10+
python3 --version

Install from PyPI

uv pip install mem-forensics-mcp

Install from source

git clone https://github.com/x746b/mem_forensics-mcp.git
cd mem_forensics-mcp

# Full install (recommended)
uv sync --extra full

# Minimal (Vol3 only, no YARA/VT)
uv sync --extra volatility3

Build Rust Engine (optional)

Prebuilt binaries ship for aarch64-linux and x86_64-linux in engines/memoxide/. The server auto-detects the host architecture. To build from source:

# Requires Rust toolchain (https://rustup.rs)
cd engines/memoxide-src
cargo build --release

# Binary lands at engines/memoxide-src/target/release/memoxide
# The server auto-detects it (prefers local build over prebuilt)

Configure Volatility3 (optional)

If Vol3 is installed at /opt/volatility3 it's auto-detected. Otherwise: export VOLATILITY3_PATH="/path/to/volatility3"

Verify

uv run python -m mem_forensics_mcp.server
# Should show: Rust engine: available, Volatility3: available

Adding to Claude CLI

claude mcp add mem-forensics-mcp \
  --scope user \
  -- uv run --directory /opt/mem_forensics-mcp python -m mem_forensics_mcp.server

With custom Volatility3 path:

claude mcp add mem-forensics-mcp \
  --scope user \
  -e VOLATILITY3_PATH=/opt/volatility3 \
  -- uv run --directory /opt/mem_forensics-mcp python -m mem_forensics_mcp.server

Quick Start

# 1. Initialize
memory_analyze_image(image_path="/evidence/memory.raw")

# 2. Full triage
memory_full_triage(image_path="/evidence/memory.raw")

# 3. Drill down
memory_run_plugin(image_path="/evidence/memory.raw", plugin="malfind", pid=1234)

Tool Reference

Core

Tool Tier Description
memory_analyze_image 1->2 Initialize image, auto-detect profile
memory_run_plugin 1->3 Run any plugin (Rust or Vol3)
memory_list_plugins - List available plugins
memory_list_sessions - List active sessions
memory_get_status - Show engine status

Analysis

Tool Tier Description
memory_full_triage 1+2 Complete automated investigation
memory_hunt_process_anomalies 2 DKOM detection, parent-child validation
memory_get_process_tree 2 Process tree with suspicious highlighting
memory_find_injected_code 1->2 Code injection + YARA scanning
memory_find_c2_connections 1+2 Network C2 detection
memory_get_command_history 1+2 Command recovery + classification
memory_extract_credentials 2 Hash/secret extraction via Vol3

Extraction

Tool Tier Description
memory_dump_process 2 Process info and loaded DLLs
memory_dump_vad 2 Examine memory region details
memory_list_dumpable_files 3 List cached files

Threat Intelligence

Tool Description
vt_lookup_hash VirusTotal hash lookup
vt_lookup_ip VirusTotal IP reputation
vt_lookup_domain VirusTotal domain reputation
vt_lookup_file Hash file + VT lookup

Example: Full Triage Output

Running memory_full_triage on a Windows 10 memory dump (Win10 19041, x64, VMware):

{
  "threat_level": "critical",
  "risk_score": 100,
  "summary": "Processes: 115 found. Process Anomalies: 4 info-level. Network: 4 flagged of 79 connections. Commands: 56 memory fragments. Injected Code: 12 RWX regions. Correlations: 2 critical.",
  "engine": "rust+python"
}

Key findings:

Category Detail
Suspicious process mmc.exe launched from explorer.exe, loading a .msc file from browser downloads
Injected code 4 RWX private memory regions in mmc.exe, 2 in EXCEL.EXE
Child process dllhost.exe spawned by mmc.exe with executable RWX region
Network svchost.exe connections to external IPs on ports 443/80
Correlations active_implant + active_c2_session flagged as critical
IOCs Suspicious external IPs extracted automatically

Drill-down with filtered filescan:

memory_run_plugin(image_path="memory.raw", plugin="filescan", filter="notepad")
# Returns: 2 of 7612 results matched (server-side grep before truncation)

Related Projects

  • winforensics-mcp — Windows disk forensics (EVTX, Registry, MFT, Prefetch, YARA, PCAP)
  • mac_forensics-mcp — macOS DFIR (Unified Logs, FSEvents, Spotlight, Plists)

MIT License | xtk | Built for the DFIR community. No Windows required >)

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Mem Forensics MCP

How do I install Mem Forensics MCP?

Run npx mem-forensics-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Mem Forensics MCP safe to use with an AI agent?

Its trust score is 56 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Mem Forensics MCP still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.