How do I install Mem Forensics?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Mem Forensics need an API key?

No required environment variable is listed on this record.

What transport does Mem Forensics use?

Mem Forensics runs locally over stdio.

Mem Forensics MCP サーバー

Q: When was Mem Forensics last checked?

Last checked 2026-10-28. Unified Memory Forensics MCP Server - Multi-tier engine combining Rust speed with Vol3 coverage.

エージェントを強化

このサーバーを追加

Install from the publisher. Not a PlugMCP endpoint.

PlugMCP で実行

キーとログ付きでコピーをホスト。

No packaged release in the registry yet. Follow the repository README.

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

PlugMCP で実行

キーとログ付きでコピーをホスト。

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

起動

Server facts

Local

Transport: stdio
License: MIT
Last checked: 2026-10-28

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

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 venv .venv
uv pip install --python .venv/bin/python3 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

Add to an MCP client

Register mem-forensics-mcp as a local stdio server in your MCP client's settings. Configuration format and location depend on the client. For clients that accept mcpServers JSON, use:

{
  "mcpServers": {
    "mem-forensics-mcp": {
      "command": "/absolute/path/to/.venv/bin/python3",
      "args": ["-m", "mem_forensics_mcp.server"]
    }
  }
}

Replace the command with the absolute path to the virtual environment's Python interpreter. For a source checkout, this is /path/to/mem_forensics-mcp/.venv/bin/python3 after uv sync. For a PyPI install, use the .venv created during installation. If your client uses a different configuration format, enter the same command and arguments through its MCP server settings.

If Volatility3 is installed in a custom location, set VOLATILITY3_PATH to its absolute path in the server's environment settings (for example, "env": {"VOLATILITY3_PATH": "/path/to/volatility3"} in the JSON example). Use the client's MCP server list to confirm it connects.

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)

memory_analyze_image reports readiness at two levels:

ready and session_ready: an engine opened the image and the session can be reused.
raw_ready: OS-agnostic Rust operations such as search and readraw are available.
structured_ready: symbols/profile data is sufficient for structure-aware plugins.

ready remains a compatibility alias for session_ready; it does not imply that Volatility process, network, or command plugins can run. Check os_type, structured_ready, capabilities, and warnings before choosing those tools.

For Linux structure-aware analysis, provide either a symbol directory or an explicit ISF file. Linux ISFs are never downloaded or generated automatically:

memory_analyze_image(
    image_path="/evidence/memory.lime",
    symbols_root="/evidence/symbols",
    # or: isf_path="/evidence/symbols/5.10.0-35-amd64.json.xz",
)

Without a matching ISF, LiME images still expose raw search and readraw. The analysis response includes the exact kernel banner and a suggested ISF filename. With symbols loaded, process tree routes to linux.pslist.PsList, command history routes to linux.bash.Bash, and generic Linux Volatility plugins are available through memory_run_plugin.

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 >)

このサーバーを追加

キーとログ付きでコピーをホスト。

Server facts

Tools

Questions

How do I install Mem Forensics?

Does Mem Forensics need an API key?

What transport does Mem Forensics use?

When was Mem Forensics last checked?

Documentation

mem-forensics-mcp

Architecture

Installation

Prerequisites

Install from PyPI

Install from source

Build Rust Engine (optional)

Configure Volatility3 (optional)

Verify

Add to an MCP client

Quick Start

Tool Reference

Core

Analysis

Extraction

Threat Intelligence

Example: Full Triage Output

Related Projects