Enables AI assistants to perform DMA memory operations on Linux systems using PCILeech and MemProcFS.
Sponsored
This Model Context Protocol (MCP) server empowers AI assistants to execute direct memory access (DMA) operations on target Linux systems through PCILeech-compatible FPGA devices. Unlike existing solutions that wrap CLI tools, this project leverages native Python bindings for MemProcFS and LeechCore, offering superior performance, arbitrary-sized memory reads, and persistent device handling without subprocess overhead or Windows dependencies. It integrates seamlessly with Claude Code, providing a powerful platform for advanced memory interaction for security research and development.
Key Features
01Offers 21 specialized MCP tools for memory R/W, process/module management, and advanced analysis.
02Linux-native implementation using direct Python bindings for PCILeech/MemProcFS.
03Supports arbitrary-sized DMA memory reads and writes (up to 1MB).
04Provides a persistent device handle for efficient, continuous operations.
05Seamless integration with Claude Code and other MCP-compatible AI clients.
060 GitHub stars
Use Cases
01Automated memory analysis and forensics on Linux systems via AI.
02AI-driven game hacking and reverse engineering.
03Security research involving DMA-based memory access and manipulation.
