Volatility3 MCP Server for automating Memory Forensics
What is Kirandawadi volatility3 mcp
Volatility3 MCP Server
Introduction
Volatility3 MCP Server is a powerful tool that connects MCP clients like Claude Desktop with Volatility3, the advanced memory forensics framework. This integration allows LLMs to analyze memory dumps, detect malware, and perform sophisticated memory forensics tasks through a simple, conversational interface. !Architecture Diagram
What This Solves
Memory forensics is a complex field that typically requires specialized knowledge and command-line expertise. This project bridges that gap by:
- Allowing non-experts to perform memory forensics through natural language
- Enabling LLMs to directly analyze memory dumps and provide insights
- Automating common forensic workflows that would normally require multiple manual steps
- Making memory forensics more accessible and user-friendly
Features
- Memory Dump Analysis: Analyze Windows and Linux memory dumps using various plugins
- Process Inspection: List running processes, examine their details, and identify suspicious activity
- Network Analysis: Examine network connections to detect command and control servers
- Cross-Platform Support: Works with both Windows and Linux memory dumps (macOS support coming soon)
- Malware Detection: Scan memory with YARA rules to identify known malware signatures
Demo
Demo Video
You can also find a detailed presentation on this tool here.
Configuration
- Clone this repository:
- Create a virtual environment:
python -m venv environ source environ`/bin/activate`
- Install the required dependencies:
pip install -r requirements.txt
You can use this project in two ways:
Option 1: With Claude Desktop
- Configure Claude Desktop:
- Go to
Claude
->Settings
->Developer
->Edit Config
->claude_desktop_config.json
and add the following
!Tools available in Claude Desktop{ "mcpServers": { "volatility3": { "command": "absolute/path/to/virtual/environment`/bin/python3",` "args": [ "absolute/path/to/bridge_mcp_volatility.py" ] } } }
- Go to
- Restart Claude Desktop and begin analyzing the memory dumps.
Option 2: With Cursor (SSE Server)
- Start the SSE server:
python3 start_sse_server.py
- Configure Cursor to use the SSE server:
- Open Cursor settings
- Navigate to
Features
->MCP Servers
- Add a new MCP server with the URL
http://127.0.0.1:8080/sse
!Cursor Composer
- Use the Cursor Composer in agent mode and begin analyzing memory dumps.
Available Tools
- initialize_memory_file: Set up a memory dump file for analysis
- detect_os: Identify the operating system of the memory dump
- list_plugins: Display all available Volatility3 plugins
- get_plugin_info: Get detailed information about a specific plugin
- run_plugin: Execute any Volatility3 plugin with custom arguments
- get_processes: List all running processes in the memory dump
- get_network_connections: View all network connections from the system
- list_process_open_handles: Examine files and resources accessed by a process
- scan_with_yara: Scan memory for malicious patterns using YARA rules
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Leave a Comment
Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
Related MCP Servers
chrisdoc hevy mcp
sylphlab pdf reader mcp
An MCP server built with Node.js/TypeScript that allows AI agents to securely read PDF files (local or URL) and extract text, metadata, or page counts. Uses pdf-parse.
aashari mcp server atlassian bitbucket
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
aashari mcp server atlassian confluence
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get spaces & pages (content formatted as Markdown) and search via CQL. Connects AI seamlessly to Confluence knowledge bases using the standard MCP interface.
prisma prisma
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Zzzccs123 mcp sentry
mcp sentry for typescript sdk
zhuzhoulin dify mcp server
zhongmingyuan mcp my mac
zhixiaoqiang desktop image manager mcp
MCP 服务器,用于管理桌面图片、查看详情、压缩、移动等(完全让Trae实现)
zhixiaoqiang antd components mcp
An MCP service for Ant Design components query | 一个减少 Ant Design 组件代码生成幻觉的 MCP 服务,包含系统提示词、组件文档、API 文档、代码示例和更新日志查询
Submit Your MCP Server
Share your MCP server with the community
Submit Now