A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude and other MCP-compatible LLMs.
A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude and other MCP-compatible LLMs. The volatility mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
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.
You will need one environment variable: PYTHONPATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
mcp package)Installation goes through your MCP client rather than a global install: point it at mcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by bornpresident; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"volatility": {
"command": "uvx",
"args": ["mcp"],
"env": {
"PYTHONPATH": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
mcp package)| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.