VolatilityCAUTION
A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude and other MCP-compatible LLMs.
Why This Matters
In India, digital forensic investigators face a massive backlog of cases due to the country's large population and rising cybercrime rates. This tool helps address this challenge by:
- Allowing investigators to analyze memory dumps using simple natural language instead of complex commands
- Reducing the technical expertise needed to perform memory forensics
- Accelerating the analysis process through automation
- Helping clear case backlogs and deliver faster results to the judicial system
By making memory forensics more accessible, this tool can significantly reduce the burden on forensic experts and improve cybersecurity response across India.
Overview
This project bridges the powerful memory forensics capabilities of the Volatility 3 Framework with Large Language Models (LLMs) through the Model Context Protocol (MCP). It allows you to perform memory forensics analysis using natural language by exposing Volatility plugins as MCP tools that can be invoked directly by Claude or other MCP-compatible LLMs.
Features
- Natural Language Memory Forensics: Ask Claude to analyze memory dumps using natural language
- Process Analysis: Examine running processes, parent-child relationships, and hidden processes
- Network Forensics: Identify network connections in memory dumps
- Malware Detection: Find potential code injection and other malicious artifacts
- DLL Analysis: Examine loaded DLLs and modules
- File Objects: Scan for file objects in memory
- Custom Plugins: Run any Volatility plugin with custom arguments
- Memory Dump Discovery: Automatically find memory dumps in a directory
Requirements
- Python 3.10 or higher
- Volatility 3 Framework
- Claude Desktop or other MCP-compatible client
- MCP Python SDK (
mcppackage)
Installation
- Cl
2caaba63a96aOBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add volatility3 -- uvx volatility3
{
"mcpServers": {
"volatility3": {
"command": "uvx",
"args": [
"volatility3"
]
}
}
}Exposed tools (14)
3 read · 11 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
get_image_info | read | memory_dump_path = os.path.normpath(memory_dump_path) |
list_available_plugins | read | List all available Volatility plugins |
list_memory_dumps | read | if not search_dir: |
run_cmdline | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_custom_plugin | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_dlllist | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_filescan | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_handles | write | ts |
run_malfind | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_memmap | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_netscan | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_pslist | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_psscan | write | memory_dump_path = os.path.normpath(memory_dump_path) |
run_pstree | write | memory_dump_path = os.path.normpath(memory_dump_path) |
Trust audit
CAUTIONgrade C · trust 70/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- declared (3 observation(s))
- Network
- declared (7 observation(s))
- Shell
- declared (2 observation(s))
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (21)
importlib.import_module(module)
return getattr(__import__(__name__), name)
"PTrace flags"
class Ptrace(plugins.PluginInterface):
return self.ptrace != 0
linux_constants.PT_FLAGS(self.ptrace).flags
.readthedocs.yml
image_hash = hashlib.md5(bytes(image.filepath, "latin-1")).hexdigest()
hashlib.md5(fp.read()).hexdigest()
return hashlib.md5(
rc4 = ARC4.new(rc4key)
data = rc4.encrypt(edata) # lgtm [py/weak-cryptographic-algorithm]
sys.path.insert(0, "../../volatility3")
[chr(x) if 32 < x < 127 else "." for x in binascii.unhexlify(bytes)]
return base64.b64decode(mac_banner)
return base64.b64decode(linux_banner)
binary_identifier = base64.b64decode(identifier)
bootkey_str = binascii.unhexlify(bootkey)
sphinx, sphinx_autodoc_typehints, sphinx-rtd-theme, yara-python, yara-x, pycryptodome, pefile
jsonschema, pyinstaller, pyinstaller-hooks-contrib
yara-python, capstone, pycryptodome, leechcorepyc, gcsfs, s3fs
Gates applied: no_behavioural_pass.
2caaba63a96afull audit observations/trust-audit/mcp-server/bornpresident__volatility.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 2caaba63a96a | CAUTION | C | 70 | first audit |
Questions
What is the Volatility MCP server?
A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude
What tools does Volatility expose?
14 in total: 3 read-only, 11 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is Volatility safe to connect to an agent?
With care. The audit graded it C (70/100) and found 21 things worth knowing before you trust this server, listed below with the exact line each was found on.
What credentials does Volatility need?
No credential environment variables were found in its source, so it appears to need none.
How current is this page?
The grade is for one exact copy of the source (2caaba63a96a), read on 2026-10-08. The repository is watched and re-audited when it changes.