Skip to main content
Glama
FVol MCP Server

FVol MCP Server

by XSS3cut10n3r

FVol MCP Server

MCP server that exposes fvol (Rust port of Volatility 3) plugins as tools for Claude and other MCP clients. Fork of Volatility-MCP-Server.

Setup

Requires Linux, Python 3.10+, and the fvol binary (releases).

git clone https://github.com/XSS3cut10n3r/FVol-MCP-Server.git
pip install -r FVol-MCP-Server/requirements.txt
claude mcp add fvol -e FVOL_PATH=/path/to/fvol -- python3 /path/to/FVol-MCP-Server/fvol_mcp_server.py

Environment variables:

  • FVOL_PATH: fvol binary (default: fvol on PATH)

  • FVOL_SYMBOL_DIRS: symbol dirs for Linux/macOS images, ;-separated

  • FVOL_TIMEOUT: seconds per run (default 600, 0 = none)

  • FVOL_WEB: run plugins in the fvol serve web UI so you can watch them (see below)

Related MCP server: Volatility MCP Server

Web UI mode

With FVOL_WEB set, every tool runs its plugin inside fvol serve instead of a separate fvol process. The image opens in the browser, and each tool call shows up under Runs as Claude: <plugin> <args>, with its progress and results table. The tools still return the exact text fvol prints.

  • FVOL_WEB=1: start fvol serve on the first tool call and open it in the browser. It stops with the MCP server.

  • FVOL_WEB=http://127.0.0.1:8765/#token=...: use a server you started yourself (./fvol serve); paste the open URL it prints.

  • Or leave it unset and ask Claude to call open_web_ui (optionally with that URL); close_web_ui goes back to the command line.

claude mcp add fvol -e FVOL_PATH=/path/to/fvol -e FVOL_WEB=1 -- python3 /path/to/FVol-MCP-Server/fvol_mcp_server.py

More settings for the server this MCP server starts: FVOL_WEB_ARGS (extra fvol serve arguments, such as --port 8765 --parallel 4), FVOL_WEB_OUTPUT_DIR (its -o, default ~/.cache/fvol-mcp/serve-output), FVOL_WEB_BROWSER=0 (don't open a browser), FVOL_WEB_TOKEN (token for a URL without one). Files that dump_dir asks for are downloaded from the server into dump_dir as before. Runs and results are also saved by fvol serve in ~/.fvol, so they are there under Previous next time.

Tools

open_web_ui, close_web_ui, get_image_info, run_pstree, run_pslist, run_psscan, run_netscan, run_malfind, run_cmdline, run_dlllist, run_handles, run_filescan, run_memmap, run_custom_plugin (any plugin, any args), list_available_plugins, list_memory_dumps.

Resources: fvol://plugins, fvol://help/{plugin}.

Prompt

LLMs will invent PIDs, addresses and "findings" if you let them. Start with a prompt like this:

Your task is to perform memory forensics on <PATH TO IMAGE> using the fvol MCP tools. Strategy:

- Start with `get_image_info` to identify the OS, then triage: `run_pstree`, `run_cmdline`, `run_netscan`, `run_malfind`
- Compare `run_pslist` against `run_psscan` to find hidden or terminated processes
- Drill into suspicious processes with `run_dlllist`, `run_handles` and `run_memmap` using their PID
- For any other plugin use `run_custom_plugin`; check `fvol://help/{plugin}` for its options first
- Only report what the tool output shows. Quote the PID, offset or row for every claim. NEVER guess values
- If a plugin errors or returns nothing, say so; don't fill the gap with assumptions
- Write a report.md at the end: timeline, suspicious processes, network indicators, IOCs, and the commands behind each finding

License

MIT. fvol is separate and licensed under VSL 1.0.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to perform memory forensics analysis using Volatility 3 through natural language prompts. Supports process listing, network connection analysis, and other memory artifact inspection from memory images.
    53
    Apache 2.0
  • A
    license
    Not graded
    quality
    F
    maintenance
    Enables automated memory forensics analysis using Volatility 3, supporting Windows, Linux, and macOS memory dumps through a modular plugin interface.
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Multi-tier memory forensics MCP server combining a fast Rust engine with Volatility3 coverage for analyzing memory dumps.
    15
    30 PyPI
    5
    MIT